Subjects -> MATHEMATICS (Total: 1013 journals)
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    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (26 journals)
    - PROBABILITIES AND MATH STATISTICS (113 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 10)
American Journal of Mathematics and Statistics     Open Access   (Followers: 8)
Annals of Data Science     Hybrid Journal   (Followers: 17)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 8)
Applied Medical Informatics     Open Access   (Followers: 12)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 3)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 2)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 3)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 13)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 14)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 6)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 5)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 3)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 5)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access   (Followers: 1)
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 2)
Nepalese Journal of Statistics     Open Access   (Followers: 1)
North American Actuarial Journal     Hybrid Journal   (Followers: 2)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 3)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

Similar Journals
Journal Cover
International Journal of Statistics in Medical Research
Number of Followers: 5  
 
Hybrid Journal Hybrid journal   * Containing 24 Open Access Open Access article(s) in this issue *
ISSN (Online) 1929-6029
Published by Lifescience Global Homepage  [13 journals]
  • Development and Validation of a Virtual Moving Auditory Localization
           (vMAL) Test among Healthy Children

         This is an Open Access Article Open Access Article

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      Authors: Muhammad Nur Hilmi Che Hassan; Mohd Normani Zakaria, Wan Najibah Wan Mohamad
      Abstract: Introduction: The ability to localize sound sources is crucial for humans. Due to specific hearing disorders, the affected individuals may have problems to accurately locate the sound sources, leading to other unwanted consequences. Nevertheless, a simple auditory localization test (that employs moving auditory stimuli) is currently lacking in clinical settings. Essentially, the objectives of the present study were to develop a virtual moving auditory localization (vMAL) test that is suitable for assessing children and assess the validity and the reliability of this test. Materials and Methods: This study consisted of two consecutive phases. In phase 1, the required stimulus and the test set up for the vMAL test were established. Two loudspeakers were employed to produce five virtual positions, and eight different moving conditions were constructed. In phase 2, 24 normal-hearing Malaysian children (aged 7-12 years) underwent the vMAL test. The validity and the reliability of this test were then assessed using several validation measures. Fleiss Kappa and Spearman correlation analyses were used to analyse the obtained data. Results: The vMAL test was found to have good convergent validity (kappa = 0.64) and good divergent validity (kappa = -0.06). Based on the item-total correlation and Spearman coefficient rho results, this test was found to have good internal reliability (rho = 0.36-0.75) and excellent external (test-retest) reliability (rho = 0.99). Conclusions: in this study a new vMAL test was developed and proven to be valid and reliable accordingly for its intended applications. This test can be useful in clinical settings since it is simple to administer, cost-effective, does not take up much room, and can assess auditory localization performance in children. The outcomes of the present study may serve as preliminary normative data as well as guidelines for future auditory localization research.
      PubDate: Fri, 30 Dec 2022 00:00:00 +000
       
  • Are the Normative Values of Sensorineural Acuity Level (SAL) Test Affected
           by Head Circumferences of Subjects'

         This is an Open Access Article Open Access Article

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      Authors: Mahamad Almyzan Awang; Muhammad Afiq Asyraf Suhaimi, Rosdan Salim, Nik Adilah Nik Othman, Mohd Dasuki Sul’ain, Mohd Fadzil Nor Rashid, Mohd Normani Zakaria
      Abstract: Introduction: Sensorineural acuity level (SAL) test is believed to be helpful in estimating bone conduction thresholds in masking dilemma cases. However, before the SAL normative data can be used in clinical settings, there is a need to study the fundamental variable related to SAL normative data such as head circumference. As such, the purpose of the current study was to compare SAL normative values between subjects with bigger and smaller head circumferences at different frequencies. Materials and Methods: In this study, 48 healthy Malaysian adult subjects (aged between 18 and 50 years) were enrolled. Pure tone audiometry (PTA) and SAL test were subsequently conducted based on the recommended protocols. The SAL normative values were then compared between subjects with bigger and smaller head circumferences. Data analysis methods included paired t-test, effect size, and Bayesian approach. Results: No significant differences were noted in the SAL results when the two groups were compared, implying that the SAL normative data were not influenced by the head circumference (p > 0.05, BF10 = 0.232-0.708). Conclusions: Based on the findings of this study it appears that the SAL test results are not affected by the head sizes of the subjects. Future SAL test studies may use the normative SAL values established in the current study as a guide.
      PubDate: Fri, 30 Dec 2022 00:00:00 +000
       
  • Assessment of the Benefits and Effectiveness of Information Systems for
           Drug Use as an Effort to Improve Pharmaceutical Services

         This is an Open Access Article Open Access Article

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      Authors: Anis Febri Nilansari; Puji Handayani Putri
      Abstract: Drug Information Service is the duty and responsibility of a pharmacy in providing pharmaceutical services. There is 8 drug information that must be conveyed by pharmacists to patients, but based on reference data that information has not been conveyed completely. Therefore, in this study, a drug use information system was created. The purpose of this study was to assess the benefits and effectiveness of information systems in improving pharmaceutical services. The method of making the system in this study uses the prototype method. System analysis was carried out using a descriptive survey research method. The population used in this study were patients in one of the clinics in Yogyakarta in December 2021. The results of the study on 1250 respondents to assess the benefits of information systems, obtained an average score of 67% on giving information on drug use manually, and an average score of 86% on providing information on drug use along with using information systems. Information on drug use that pharmacists rarely convey in the form of information on how to store, side effects, and drug interactions. Assessment of the effectiveness of the information system shows that respondents feel helped by the existence of an information system with good assessment criteria (4 questions) and sufficient (1 question), while the average score is 88%. This study concludes that providing information on drug use accompanied by using an information system can make it easier for patients to understand the information provided to improve pharmaceutical services.
      PubDate: Fri, 30 Dec 2022 00:00:00 +000
       
  • Vaccination, Compliance with Preventive Measures and Mental Health during
           COVID-19 among Adults in Bangladesh: Do Vaccination and Compliance with
           Preventive Measures Improve Mental Health'

         This is an Open Access Article Open Access Article

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      Authors: Bipasha Singha; Shamal Chandra Karmaker, M. Mazharul Islam, Kareman Eljamal, Bidyut Baran Saha
      Abstract: Background and Objective: In addition to the reduction of risk of COVID-19 transmission and mortality, vaccination and compliance with the preventive measures of COVID_19 may have important additional benefits for the improvement of mental health. This study examined the levels and determinants of vaccination, compliance with preventive measures, and anxiety, depression and stress among Bangladeshi adults. It also examined the effects of vaccination and compliance with preventive measures on mental health status among Bangladeshi adults. Methods: Data for the study come from an online survey conducted during November and December 2021 among Bangladeshi adults. A total of 615 adults participated in the survey. A 21-item Depression, Anxiety, and Stress scale (DASS 21) were used for collecting data on mental health. Both descriptive and inferential statistical methods including multiple logistic regression were used for data analysis. Results: About 69% of Bangladeshi adults were vaccinated with at least one dose; 87% of adults believed that vaccines are moderate to highly effective in reducing COVID-19 infection. Among the preventive measures during a pandemic, the level of complete compliance with wearing masks and hand washing was almost universal, while the compliance level with other preventive measures was moderate. Vaccinated people had a 55% (OR=0.45; 95%CI:0.26-0.82), 67% (OR=0.33; 95%CI:0.12-0.91), and 44% (OR=0.56; 95%CI:0.27-0.97) lower chance of suffering from depression, anxiety, and stress, respectively than non-vaccinated people. People with complete compliance had 64% (OR= 0.36; 95%CI:0.18-0.72), 71% (OR=0.29; 95%CI:0.15-0.58), and 74% (OR=0.26; 95%CI:0.13-0.50) lower risk of suffering from depression, anxiety, and stress, respectively, than respondents with irregular preventive behaviors. Conclusion: This study documents the important psychological benefits of vaccination and compliance with preventive measures of COVID-19.
      PubDate: Fri, 30 Dec 2022 00:00:00 +000
       
  • Evaluation and Comparison of Plasma miRNA-31 in Oral Squamous Cell
           Carcinoma

         This is an Open Access Article Open Access Article

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      Authors: Santhosh Kumar Caliaperoumal; Saranyan Ravi, M. Thrumaran, Balakrishnan Jeyakumar, Devi Mani
      Abstract: Background/Purpose: Oral Squamous cell carcinoma is sixth most common cancer with considerable morbidity and mortality. The microRNAs (miRNAs) are set of short RNAs involved in regulating the expression of protein coding genes. They are up or down-regulated in carcinogenesis and in oral cancer. The miRNA-31 (miR-31) is increased in oral cancer. Objective: To evaluate and compare the expression of miRNA-31 in plasma of Oral squamous cell carcinoma and control subjects. Materials and Methods: Case control study was carried out in 25 cases of oral squamous cell carcinoma subjects and 25 normal control subjects. The level of miRNA-31 in blood plasma was evaluated by miRNA easy kit (quagen) and miRNA-based qRT-PCR. The fold change was observed and compared between OSCC and controls. Results: The plasma level of miRNA-31 was significantly increased in OSCC patients compared to controls (p<0.001). The patients with moderately differentiated, grade 4 OSCC patients showed significant increase in fold change compared to control, well differentiated and grade 3 OSCC (p<0.001). Conclusion: Our results indicate that plasma miR-31 may be used as an adjuvant biomarker the detection of OSCC patient.
      PubDate: Fri, 30 Dec 2022 00:00:00 +000
       
  • Evaluation of COVID-19 Vaccine Refusal among AOU Students in Kuwait and
           their Families and their Expected Inclination Towards the Acceptance or
           Refusal of the Vaccine

         This is an Open Access Article Open Access Article

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      Authors: Luai AL-Shalabi
      Abstract: The purpose of this research was to determine the factors influencing the refusal of a coronavirus disease (COVID- 19) vaccine among adult students from Arab Open University in Kuwait (AOU) and their families and to study the trends of reluctant participants. A questionnaire was conducted (n = 691; aged 12 and older). Significant factors and the tendency of hesitant participants to accept or reject the vaccine were explored by applying a cleaning and coding process, a rough set theory (RS), a decision tree (DT) classifier, and a p-value. Overall, 18.4% of the participants reported refusing to receive a COVID-19 vaccine, while 17.2% were uncertain. The study shows that hesitant subjects represent a tendency to accept vaccination. Of the vaccine-refusal participants, subjects aged 18-29, suffer from chronic disease, were infected with COVID-19, were vaccinated against seasonal flu, and had concerns about receiving a COVID-19, representing 44.1%, 21.05%, 16.76%, 54.33%, and 70.08%, respectively. Overall, 18.4% of the participants demonstrated a refusal to receive a COVID-19 vaccine and 17.2% are hesitant. Factors influencing the level of acceptance/rejection of the vaccine were determined. The results showed that hesitant participants have a strong tendency to accept the vaccine (81.82%). Since vaccination is an important strategy to reduce the spread of the COVID-19 pandemic, the ministry of public health must immediately address the significant factors for the acceptance/rejection of the vaccine, as well as the trend of hesitant participants toward the acceptance of the vaccine.
      PubDate: Tue, 27 Dec 2022 00:00:00 +000
       
  • Treatment Patterns of Tocilizumab Utilization for Progressive Respiratory
           Distress during the COVID-19 Pandemic

         This is an Open Access Article Open Access Article

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      Authors: Kimberly R. Barber; Kristen Hartnett, Jennifer R. Hella, Roya Z. Caloia, Virginia LaBond
      Abstract: Purpose: This study’s objective was to describe treatment patterns of patients receiving then experimental drug tocilizumab for severe respiratory illness. Methodology: It is a retrospective case series of patients receiving tocilizumab for COVID-19 at a 380-bed hospital between 03/01/202 and 05/31/2020. Treatment patterns for tocilizumab for this series of ICU patients was modeled using a Spearman rho correlation for ranked associations. Results: There was significant variation in frequency and serial testing of inflammatory markers. There was no correlation between tocilizumab initiation and worsening respiratory status (r=0.19, p=.48) or between days since dosing and survival (R= -0.02, p= .95). No clear pattern emerged from tocilizumab administration during the pandemic. Conclusion: Protocols for untested new treatments are needed to overcome the uncertainty physicians face during pandemics.
      PubDate: Mon, 28 Nov 2022 00:00:00 +000
       
  • An Analysis of the Survival of Gall Bladder Patients in a Tertiary Cancer
           Center in India using Accelerated Failure Time Models

         This is an Open Access Article Open Access Article

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      Authors: Anurag Sharma; Komal Komal
      Abstract: Objective: Accelerated Failure Time (AFT) models are an useful alternative of Cox- PH model to determine the significant predictors affecting the survival of the patients. This article aims to determine the significant prognostic factors of hospitalized Gall Bladder Cancer patients in Rajiv Gandhi Cancer Institute and Research Center, New Delhi, India by applying AFT Models. To the best of our knowledge, this is the first study to be carried out in India identifying the factors of Gall bladder patients using AFTM. Materials and Methods: The data are taken from original proformae of 652 hospital admitted Gall Bladder patients from a tertiary care hospital from Delhi from the period January 2012 to December 2016. These models take the logarithm of survival time, S(t) as dependent variable and prognostic factors as independent variables. Thereby, effect of these prognostic factors is multiplicative and therefore these models can be easily interpreted. AFTM demonstrates the predictor’s effect in terms of time ratio (TR). Analysis was implemented on R software version 3.5.1. Results and Conclusions: In the Gall Bladder data considered in this article, shape of hazard function, H(t) and the exploratory data analysis falls in line with the Lognormal AFT model. AFT models give an estimate of Time Ratio which helps doctors, clinicians, epidemiologists etc. to determine the effect of treatment in terms of an increasing/decreasing survival time.
      PubDate: Wed, 23 Nov 2022 00:00:00 +000
       
  • The Use of Putative Dialysis Initiation Time in Comparative Outcomes of
           Patients with Advanced Chronic Kidney Disease: Methodological Aspects

         This is an Open Access Article Open Access Article

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      Authors: Danh V. Nguyen; Esra Kurum, Damla Senturk
      Abstract: The latest data from the United States Renal Data Systems show over 134,000 individuals with end-stage kidney disease (ESKD) starting dialysis in the year 2019. ESKD patients on dialysis, the default treatment strategy, have high mortality and hospitalization, especially in the first year of dialysis. An alternative treatment strategy is (non-dialysis) conservative management (CM). The relative effectiveness of CM with respect to various patient outcomes, including survival, hospitalization, and health-related quality of life among others, especially in elderly ESKD or advanced chronic kidney disease patients with serious comorbidities, is an active area of research. A technical challenge inherent in comparing patient outcomes between CM and dialysis patient groups is that the start of follow-up time is “not defined” for patients on CM because they do not initiate dialysis. One solution is the use of putative dialysis initiation (PDI) time. In this work, we examine the validity of the use of PDI time to determine the start of follow-up for longitudinal retrospective and prospective cohort studies involving CM. We propose and assess the efficacy of estimating PDI time using linear mixed effects model of kidney function decline over time via simulation studies. We also illustrate how the estimated PDI time can be used to effectively estimate the survival distribution.
      PubDate: Fri, 18 Nov 2022 00:00:00 +000
       
  • Hearing Loss due to Noise Exposure and its Relationship with Hypertension
           in Peruvian Workers

         This is an Open Access Article Open Access Article

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      Authors: María Alejandra Ramírez Saldaña; Jenny Raquel Torres-Malca, Fiorella E. Zuzunaga-Montoya, Víctor Juan Vera-Ponce, Liliana Cruz-Ausejo, Jhony A. De La Cruz-Vargas
      Abstract: Introduction: Noise-induced hearing loss has been implicated in the genesis of several chronic conditions; however, its behavior concerning hypertension still raises doubts about it. Objective: to determine the association between hearing loss due to exposure to noise and the presence of hypertension in a sample of Peruvian workers. Methods: Cross-sectional analytical study. Secondary analysis of the occupational database of a Medical center in Lima, Peru. hypertension was measured by self-report and clinical method. Hearing loss was classified as none, mild, moderate and severe. For the regression analysis, Poisson was performed with robust variance, obtaining crude (PRc) and adjusted (PRa) prevalence ratios. Results: We worked with a total of 1987 participants. The prevalence of hypertension was 15.40% and hearing loss was 36.39%. For the multivariate regression analysis, a statistically significant association with hypertension was found in those with mild hearing loss (PRa=1.52; CI95% 1.06–2.10), moderate (PRa=2.70; CI95% 1,93–3.76) and severe (PRa=3.82; 95% CI 2.56–5.96), compared to those without hearing loss. Conclusions: Hearing loss due to exposure to occupational noise was associated with the presence of hypertension. Although this study is only a first overview of the relationship that both variables could have, it is recommended to continue promoting policies and awareness campaigns to prevent hearing loss in workers, and thus avoid complications related to it in the long term.
      PubDate: Fri, 28 Oct 2022 00:00:00 +000
       
  • Predictive Power of a Body Shape Index (ABSI) for Diabetes Mellitus and
           Arterial Hypertension in Peru: Demographic and Health Survey Analysis -
           2020

         This is an Open Access Article Open Access Article

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      Authors: Andony Ojeda Heredia; Jenny Raquel Torres-Malca, Fiorella Elvira Zuzunaga-Montoya, Victor Juan Vera-Ponce, Liliana Cruz-Ausejo, Jhony A. De la Cruz-Vargas
      Abstract: Introduction: Given the relationship between obesity and type 2 diabetes mellitus (T2DM) and hypertension, an indicator of body fat, A Body Shape Index (ABSI), has been considered to have apparent predictive power for these diseases. Objective: To determine the predictive power of the ABSI for DMT2 and hypertension in Peru through the analysis of the Demographic and Health Survey-2020 (ENDES-by its acronym in Spanish-2020). Methods: Cross-sectional analytical study of the ENDES-2020. The variables evaluated were ABSI, body mass index, high abdominal waist, waist-to-height ratio, body roundness index (BRI) and conicity index (COI). Areas under the curves (AUC) together with their 95% confidence interval (95%CI) were used to present each index. Results: A total of 19 984 subjects were studied. Regarding hypertension, the highest AUC was presented by the COI: AUC=0.707 (95%CI 0.694-0.719). While the ABSI obtained the penultimate place: AUC=0.702 (95% CI 0.689-0.715). In case of DM2, the highest ABC was presented by BRI: AUC=0.716 (95%CI 0.689-0.743); while ABSI obtained the second place: AUC=0.687 (95%CI 0.658-0.717). Conclusions: The results demonstrate that ABSI is not a good predictor for hypertension and DMT2 in the Peruvian population. If these findings are confirmed by other studies, its use would not be recommended for these diseases, and other anthropometric indicators that could perform better should be further explored.
      PubDate: Mon, 24 Oct 2022 00:00:00 +000
       
  • Cox Proportional Hazard Regression Interaction Model and Its Application
           to Determine The Risk of Death in Breast Cancer Patients after
           Chemotherapy

         This is an Open Access Article Open Access Article

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      Authors: M. Ivan Ariful Fathoni; Gunardi, Fajar Adi-Kusumo, Susanna Hilda Hutajulu, Ibnu Purwanto
      Abstract: Introduction: This research is based on medical record data of breast cancer patients who seek treatment at the Central General Hospital, dr. Sardjito Yogyakarta, from 2018-2021 has as many as 105 patients. Several risk factors for cancer include demographic factors, clinical factors, tumor factors, and therapy. These factors lead to different psychological states of patients, resulting in the rate of recovery and death of patients. Objective: To determine the risk of death in breast cancer patients after chemotherapy. Methods: The method used in this study is Cox Proportional Hazard survival analysis with an interaction model. The variables studied were age, marital status, profession, insurance, BMI, comorbidities, duration of chemotherapy, chemotherapy agent, chemotherapy type, and tumor size. Results: The analysis results using SPSS software obtained the best hazard and survival model with four significant variables, namely the duration of chemotherapy, chemotherapy agents, chemotherapy types, and the interaction between BMI and chemotherapy types. Conclusions: The most significant risk factor for death was palliative chemotherapy type with HR 27.195 and 3-5 chemotherapy agents with HR 4.997. Meanwhile, the long duration of chemotherapy and the interaction between lean BMI and palliative chemotherapy reduced the risk of death by HR 0.967 and 0.128, respectively.
      PubDate: Fri, 21 Oct 2022 00:00:00 +000
       
  • Application of Semi-Markov Process For Model Incremental Change in HIV
           Staging with Cost Effect

         This is an Open Access Article Open Access Article

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      Authors: Collins O. Odhiambo; Joram Malului Andrew
      Abstract: In the recent past, both non-parametric and parametric approaches have consistently been used to model cost effectiveness in a variety of health applications. This study applies the semi-Markov model while presenting the sojourn time with well-defined probability distributions. We employed the Weibull distribution to model the hazard function for each of the defined transition paths. We defined three distinct states of the semi-Markov process using the quantity of HIV virus in the blood of an HIV-infected person i.e., viral load (VL) copies in a milliliter (copies/mL). The three states were defined; VL < 200 copies/mL, 200 copies/mL < VL < 1,000 copies/mL, VL > 1,000 copies/mL and an absorbing state which is naturally death. We also developed a cumulative cost function, purposely to determine the average estimated cost per patient in each of the defined states. Incremental Cost Effectiveness Ratio (ICER) was utilized in the analysis of cost-effectiveness while comparing two program strategies i.e., Patients under the differentiated care model (DCM) and those who are not considered to be in any model of differentiated care during their respective ongoing clinical follow up. Results show the mean cost of the patients for each state 1, 2, and 3 was $765, $ 829, and $ 1,395 respectively. More so, the computed ICER ratio was $ 484/life-year-saved. In conclusion, the cost of keeping patients in state 1 (on DCM) was relatively cheaper and more efficient compared to the other states.
      PubDate: Fri, 14 Oct 2022 00:00:00 +000
       
  • The Role of Mobile Applications in the Doctor’s Working Time
           Management System

         This is an Open Access Article Open Access Article

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      Authors: Tetiana Sviatenko; Inna Gogunska, Tetyana Semigina, Liliya Kasianenko, Olena Salei, Maryna Prokopenko
      Abstract: Background: Information technologies have become a mandatory component for health care institutions, as well as for doctors. Doctors’ use of medical mobile applications to access medical information has the potential to improve the use of their working time. Primary care physicians can use mobile applications to communicate with their patients, thereby improving the health of individual patients and the population as a whole. Objectives: The aim of the study is to determine the effectiveness of the use of medical reference mobile applications by general practitioners in their medical practice. Methods: The research was conducted through a sociological survey and a questionnaire survey. Descriptive statistics were used for the analysis. Results and Conclusions: The study found that in Ukraine, medical mobile applications are mainly reference, and their use allows doctors to improve decision-making and has a positive effect on the level of health of the population and the doctor’s working time management. The assessment of the duration of the appointment using applications showed that in most cases, the time of the consultation reduced to 15 minutes, which testifies to the improvement of this type of assistance to the population. Besides, the use of applications provides a significant reduction of the time for making a clinical decision by 5 minutes. We found a relationship between the average duration of the appointment, as well as the time for making a clinical decision and the frequency of using the mobile application during the working day. The hypothesis of a direct effect of an innovative approach (use of a mobile application) on the time of outpatient appointments by family doctors with a significance level of 0.05 was tested using statistical data analysis according to the Student's test. The presented results of the analysis of a medical experiment with general practitioners allowed drawing a conclusion about the positive impact of the use of mobile applications on the working time savings of general practitioners when providing medical services.
      PubDate: Mon, 19 Sep 2022 00:00:00 +000
       
  • Role of Predictive Modeling in Healthcare Research: A Scoping Review
         This is an Open Access Article Open Access Article

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      Authors: Nihar Ranjan Panda; Jitendra Kumar Pati, Ruchi Bhuyan
      Abstract: The huge preponderance of inferences drawn in empirical medical research follows from model-based relations (e.g. regression). Here, we described the role of predictive modeling as a complement to this approach. Predictive models are usually probabilistic model which gives a good quality fit to our data. In medical research, it’s very common to use regression models for predictive purposes. Here in this article, we described the types of predictive modeling (Linear and Non-linear) used in medical research and how effectively the researchers take decisions based on predictive modeling, and what precautions, we have to take while building a predictive model. Finally, we consider a working example to illustrate the effectiveness of the predictive model in healthcare.
      PubDate: Mon, 19 Sep 2022 00:00:00 +000
       
  • Evaluation of Frequency and Type of Severe Anemia in Patients Referred to
           the Baqiyatallah Hospital in Tehran in Six Months; A Descriptive
           Cross-Sectional Study

         This is an Open Access Article Open Access Article

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      Authors: Hamid Reza Jalalian; Meysam Shasti, Sadrollah Mahmoudi, Hassan Goodarzi
      Abstract: Purpose: To investigate the frequency and types of severe unknown anemia in patients referred to the Baqiyatallah Hospital (Tehran) for six months. Methods: In this descriptive cross-sectional study, the patients with severe unknown anemia referred to the Baqiyatallah Hospital (Tehran, Iran) were selected over six months. Following consideration of inclusion and exclusion criteria, 230 patients with severe anemia (hemoglobin (Hb) > 8gr/dl) were included. Complete medical history was obtained from the patients and additional biochemical blood analyses were applied to determine the frequency and type of anemia. SPSS (v.19) software was used to analyze the findings and the significance level was defined as a p-value <0.05. Results: In chronic disease anemia (47.5%), gastrointestinal bleeding-associated anemia (29%), bleeding malignancies anemia (21.5%), and aplastic anemia (2%). There were significant differences (p<0.05) in the frequency of different types of normocytic anemia. The highest frequency was detected in folate deficiency anemia (46%), hypothyroidism anemia (34%), and B12 deficiency anemia (20%), respectively. The hemolytic anemia represented a significant difference (p<0.05) in comparison with sickle cell anemia (95%). Also, sickle cell anemia showed a significant difference (p<0.05) between thalacemia-associated anemia (95%) and malignancy-related anemia (95%) Conclusion: Respectively, the highest frequency of anemia in patients was found in chronic diseases and gastrointestinal bleeding. It is suggested that more attention should be paid to the type of anemia of patients referred to the urgency of hospitals.
      PubDate: Mon, 19 Sep 2022 00:00:00 +000
       
  • Comprehensive Evaluation of Reference Values of Parametric and
           Non-Parametric Effect Size Methods for Two Independent Groups

         This is an Open Access Article Open Access Article

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      Authors: Ayşegül Yabacı Tak; Ilker Ercan
      Abstract: In the field of health and other sciences, effect size (ES) provides a scientific approach to the effectiveness of treatment or intervention. The p-value indicates whether the statistical difference depends on chance, while ES gives information about the effectiveness of the treatment or intervention, even if the difference is not significant. For this reason, ES has become a very popular measure in recent years. It depends on which ES will be used based on the distribution of data and the number of groups. In this study, parametric and non-parametric ES were evaluated for two independent groups. When the literature was examined, there were no studies aimed at evaluating the reference values of the parametric and non-parametric ES methods used for two independent groups. In this study, the reference values of parametric and non-parametric ES methods for two independent groups were re-evaluated by a simulation study. As a result, the very small reference value of parametric ES methods was determined differently from the literature. It has been seen that the reference values of non-parametric ES methods are valid in cases where the skewness is low, and new reference values have been proposed at the varying skewness level.
      PubDate: Mon, 19 Sep 2022 00:00:00 +000
       
  • A Data Driven Study on the Variant of Covid-19 in Hong Kong
         This is an Open Access Article Open Access Article

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      Authors: Yongmei Ding; Lingxiao Xiang
      Abstract: The new wave of COVID-19 in Hong Kong, China was overwhelming again by “dynamic zero” strategy and non-pharmaceutical interventions (DZ-NPIs), which makes a time challenge to control the variant of this epidemic. We describe the variant of Covid-19 in Kong Hong to the infected proportion of the population, cumulative confirmed cases, cumulative deaths and current hospitalizations by age group via statistical measure firstly, then establish time series model for fitting the accumulative confirmed cases, further to predict the trend for searching out possible turning time-points. Non-linear regression model is created to feature the deaths series, then we figure out the parameters and educe the controlling condition for this epidemic. We expect our data-driven modeling process providing some insights to the controlling strategy for the new wave of the Covid-19 variant in Hong Kong, even in the mainland of China.
      PubDate: Mon, 05 Sep 2022 00:00:00 +000
       
  • Analysis of Statistical Knowledge of Peruvian Medical Students: A
           Cross-Sectional Analytical Study Based on a Survey

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      Authors: Víctor Juan Vera-Ponce; Jenny Raquel Torres-Malca, Jhony A. De La Cruz-Vargas, Fiorella Elvira Zuzunaga Montoya, Paola Huaccha Chavez, Jesus Enrique Talavera-Ramirez, Liliana Cruz-Ausejo
      Abstract: Introduction: Despite the growing awareness of the importance of knowledge in biostatistics, many investigations worldwide have found that medical students have a poor understanding of it. Objective: To determine the percentage of Peruvian medical students with sufficient biostatistics knowledge and the associated factors. Methods: Cross-sectional analytical study. Application of a virtual survey to medical students from different faculties in Peru. Results: 56.46% of medical students have insufficient knowledge of biostatistics. A statistically significant association was found for those who were 25 years of age or older (aPR: 1.195; 95% CI 1.045 - 1.366; p=0.009); being between the 9th and 12th semester (aPR: 1.177; 95% CI 1.001 - 1.378; p=0.037) and medical internship (aPR: 1.373; 95% CI 1.104 - 1.707; p=0.004); take an external course in biostatistics, epidemiology or research (aPR: 4.016; 95% CI 3.438 - 4.693; p<0.001); having read more than 12 articles per year (aPR: 1.590; 95% CI 1.313 - 1.967; p<0.001); and publish at least one scientific article (aPR: 1.549; 95% CI 1.321 - 1.816; p<0.001) or more than one (PR: 2.312; 95% CI 1.832 - 2.919; p<0.001). Conclusions: There is insufficient knowledge of biostatistics in medical students. The factors associated with a good understanding of this were age, academic semester, the number of articles read and published, and having taken an external course.
      PubDate: Mon, 05 Sep 2022 00:00:00 +000
       
  • The Particulars of Applying Odontoprotectors at Different Stages of
           Therapeutic Process of Periodontal Diseases (A Scoping Review)

         This is an Open Access Article Open Access Article

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      Authors: Oleh Hlazunov; Alla Hruzdeva, Viktor Fesenko, Oleksandr Korniichuk, Kostiantyn Penskyi
      Abstract: Rational use of drugs underlies the development of a treatment strategy. In particular, it is important in dental practice to properly select odontoprotectors for the prevention, treatment and maintenance therapy of periodontal diseases. A methodological approach based on the Arskey & O’Malley’s framework was applied to analyse the state of knowledge and previous studies on the use of odontoprotector drug group at different stages of the therapeutic process of periodontal disease. Of the 6 initial scientific databases, the research was conducted in 3 databases that best met the specified search conditions: Google (Google Scholar); PubMed; Wiley InterScience (The Cochrane Library). The literature was selected for the last 5 years (2016-2021). A total of 492 scientific papers were analysed. It is established that the available scientific information is divided into 4 main areas: the use of herbal remedies and folk remedies; antibiotic therapy in dental practice; prospects for the use of nanotechnology in dentistry; results of experimental researches and review articles on a particular active pharmaceutical ingredient.
      PubDate: Thu, 12 May 2022 00:00:00 +000
       
  • Asthma Control Level and Relating Socio-Demographic Factors in Hospital
           Admissions

         This is an Open Access Article Open Access Article

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      Authors: Gönül Yalçınkaya; Mahmut Kılıç
      Abstract: Purpose: Asthma is one of the serious public health problems that we face today and the rate of complete control is very low. This study aims to determine the level of asthma control and its relationship with socio-demographic factors in asthma patients. Methods: This cross-sectional study was conducted between November 2020-April 2021 among people aged 18-64 who applied to the hospital and were not diagnosed with asthma. The data of the research were made with the personal information form, ACT (asthma control test). ACT is a questionnaire consisting of 5 questions. Patients rate each question between one and five points. The total score of the five questions forms the test result. If the total score is 25, it is considered as full control, 24-20 as partial control, and ≤19 as not under control. In the research, 206 people participated. Results: Of the participants, 60.7% were female, 60.2% had a family history of asthma, 94.2% of them used asthma medication, and the average age was 45.7±13.85. In the last 12 years, 50.5% of asthma patients stated that they applied to the emergency department due to respiratory problems, and 23.3% were hospitalized due to these problems. It was determined that 78.6% of asthma patients were not under control, 21.4% were under partial control, and there was no patient under full control. The mean age (48.8) and body mass index (BMI) (29.4) of those whose asthma was not under control were higher than those with partial control (32.2 and 24.7, respectively) (p<0.001). It has been determined that the probability of asthma not being controlled increases as age and BMI increase, and life satisfaction decreases, and it is higher in quit smokers than in current smokers (p<0.05). Conclusion: Asthma is largely uncontrolled. The rate of uncontrolled asthma increases with increasing age and BMI. Patients with high BMI should be supported to lose weight and should be directed to exercise.
      PubDate: Thu, 07 Apr 2022 00:00:00 +000
       
  • Factors Relating to the Expectations and Perceptions of Post-Stroke
           Outpatients’ in the Rehabilitation Services of Bangladesh

         This is an Open Access Article Open Access Article

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      Authors: Mohammad Shaikhul Hasan; Kantabhat Anusaksathien, Kanida Narattharaksa, Nahar Afrin
      Abstract: Purpose: For enhancing patients’ participation, this study aims to identify the patient-related factors that relate to the expectations and perceptions of post-stroke outpatients’ in the rehabilitation services of Bangladesh. Methods: A questionnaire survey was administered to 342 outpatients from the stroke rehabilitation department. Descriptive statistical analysis was applied to measure patients’ perceptions and expectations. Eta statistic from ANOVA was applied to examine the relationship between patient-related factors and the patients’ expectations and perceptions of the rehabilitation services. Findings: Patients’ expectations rated higher than the perceptions in all the dimensions of rehabilitation services. Factors such as; (i) patients' education (0.222, p=0.005) and post-stroke disability (0.447, p<0.001) indicated a significant relationship with patients' expectations. (ii) Patients' education (0.210, p=0.010), occupation (0.226, p=0.003), family status (0.180, p=0.048) and daily activities before the stroke (0.169, p=0.044), post-stroke disability (0.195, p=0.004) and distance from home to the hospital (0.190, p=0.006) indicated a significant relationship with their perceptions in the rehabilitation services. Conclusion: The findings of this study concluded that the rehabilitation manager needs to work on these factors and recommended developing a continuing education program to minimize these factors of poor perceptions in the rehabilitation services.
      PubDate: Thu, 07 Apr 2022 00:00:00 +000
       
  • Inclusive Physical Activity to Promote the Participation of People with
           Disabilities: A Preliminary Study

         This is an Open Access Article Open Access Article

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      Authors: Felice Di Domenico; Tiziana D’isanto, Gaetano Altavilla, Francesca D’Elia, Gaetano Raiola
      Abstract: Background: Physical activity brings improvements in the quality of life in all individuals, disabled and non-disabled. There is little evidence in the literature of inclusive physical activity in which disabled and non-disabled people participate at the same level. Objectives: The study aimed to demonstrate the effectiveness of an inclusive training program, structured in such a way as to encourage physical activity for all participants with and without disabilities, in improving body composition, explosive strength, and endurance. Methods: A sample of twenty-four subjects (mean age: 24.09±3.92 years), 12 disabled and 12 non-disabled, was selected. Quantitative input and output data were recruited at 16-week intervals using a battery of tests: anthropometric measurements, Vertec Squat Jump test, and Yoyo Endurance Test. During the 16 weeks, all participants followed an appropriately structured training program in four mesocycle without any differences. Input and output data were compared employing the t-test for dependent samples. Results and conclusions: The results showed statistically meaningful improvements at an alpha level set at 0.05 for the three parameters tested. These results confirmed the effectiveness of the proposed inclusive training protocol on the improvement of the tested parameters in all participants. These strategies didn't jeopardise the achievement of the overall objectives set; on the contrary, improvements in BMI, explosive strength, and endurance strength of 4.8%, 4.3%, and 56.2% respectively were observed.
      PubDate: Wed, 09 Mar 2022 00:00:00 +000
       
  • Multiple Imputation of Missing Race and Ethnicity in CDC COVID-19
           Case-Level Surveillance Data

         This is an Open Access Article Open Access Article

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      Authors: Guangyu Zhang; Charles E. Rose, Yujia Zhang, Rui Li, Florence C. Lee, Greta Massetti, Laura E. Adams
      Abstract: The COVID-19 pandemic has resulted in a disproportionate burden on racial and ethnic minority groups, but incompleteness in surveillance data limits understanding of disparities. CDC’s case-based surveillance system contains most COVID-19 cases in the United States. Data analyzed in this paper contain COVID-19 cases with case-level information through September 25, 2020, which represent 70.9% of all COVID-19 cases reported to CDC during the period. Case-level surveillance data are used to investigate COVID-19 disparities by race/ethnicity, sex, and age. However, demographic information on race and ethnicity is missing for a substantial percentage of COVID-19 cases (e.g., 35.8% and 47.2% of cases analyzed were missing race and ethnicity information, respectively). Our goal in this study was to impute missing race and ethnicity to derive more accurate incidence and incidence rate ratio (IRR) estimates for different racial and ethnic groups, and evaluate the results from imputation compared to complete case analysis, which involves removing cases with missing race/ethnicity information from the analysis. Two multiple imputation (MI) models were developed. Model 1 imputes race using six binary race variables, and Model 2 imputes race as a composite multinomial variable. Our evaluation found that compared with complete case analysis, MI reduced biases and improved coverage on incidence and IRR estimates for all race/ethnicity groups, except for the Non-Hispanic Multiple/other group. Our research highlights the importance of supplementing complete case analysis with additional methods of analysis to better describe racial and ethnic disparities. When race and ethnicity data are missing, multiple imputation may provide more accurate incidence and IRR estimates to monitor these disparities in tandem with efforts to improve the collection of race and ethnicity information for pandemic surveillance.
      PubDate: Fri, 28 Jan 2022 00:00:00 +000
       
 
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