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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted alphabetically
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Argumentation et analyse du discours     Open Access   (Followers: 8)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 13)
Biometrical Journal     Hybrid Journal   (Followers: 9)
Biometrics     Hybrid Journal   (Followers: 53)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 18)
Building Simulation     Hybrid Journal   (Followers: 2)
CHANCE     Hybrid Journal   (Followers: 5)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 11)
Computational Statistics     Hybrid Journal   (Followers: 15)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 36)
Current Research in Biostatistics     Open Access   (Followers: 8)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 14)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Extremes     Hybrid Journal   (Followers: 2)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 8)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 4)
Handbook of Statistics     Full-text available via subscription   (Followers: 7)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 17)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
International Statistical Review     Hybrid Journal   (Followers: 12)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 24)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 40, SJR: 3.664, CiteScore: 2)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Econometrics     Hybrid Journal   (Followers: 84)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 7)
Journal of Forecasting     Hybrid Journal   (Followers: 20)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 6)
Journal of Probability and Statistics     Open Access   (Followers: 10)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 33)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 7)
Journal of Statistical Software     Open Access   (Followers: 16, SJR: 13.802, CiteScore: 16)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 74, SJR: 3.746, CiteScore: 2)
Journal of the Korean Statistical Society     Hybrid Journal  
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 37)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 28)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 40)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 16)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 27)
Law, Probability and Risk     Hybrid Journal   (Followers: 6)
Lifetime Data Analysis     Hybrid Journal   (Followers: 7)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Metrika     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 8)
Optimization Letters     Hybrid Journal   (Followers: 2)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 34)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 15)
Queueing Systems     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 7)
Review of Economics and Statistics     Hybrid Journal   (Followers: 161)
Review of Socionetwork Strategies     Hybrid Journal  
Risk Management     Hybrid Journal   (Followers: 16)
Sankhya A     Hybrid Journal   (Followers: 3)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Sequential Analysis: Design Methods and Applications     Hybrid Journal  
Significance     Hybrid Journal   (Followers: 7)
Sociological Methods & Research     Hybrid Journal   (Followers: 45)
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Statistical Methods and Applications     Hybrid Journal   (Followers: 6)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 30)
Statistical Modelling     Hybrid Journal   (Followers: 18)
Statistical Papers     Hybrid Journal   (Followers: 4)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Statistics and Economics     Open Access  
Statistics in Medicine     Hybrid Journal   (Followers: 150)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
TEST     Hybrid Journal   (Followers: 2)
The American Statistician     Full-text available via subscription   (Followers: 26)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)

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Similar Journals
Journal Cover
Journal of the Royal Statistical Society Series C (Applied Statistics)
Journal Prestige (SJR): 1.982
Citation Impact (citeScore): 2
Number of Followers: 37  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0035-9254 - ISSN (Online) 1467-9876
Published by John Wiley and Sons Homepage  [1766 journals]
  • Utility‐based Bayesian personalized treatment selection for advanced
           breast cancer

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      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page O1-O1, November 2022.
      PubDate: 2022-12-22T09:21:35-08:00
      DOI: 10.1111/rssc.12606
      Issue No: Vol. 71, No. 5 (2022)
       
  • Bayesian multi‐level mixed‐effects model for influenza
           dynamics

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      Authors: Hanwen Huang
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1978-1995, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12603
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  • Environmental Engel curves: A neural network approach

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      Authors: Tullio Mancini; Hector Calvo‐Pardo, Jose Olmo
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1543-1568, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12588
      Issue No: Vol. 71, No. 5 (2022)
       
  • A model‐based approach to predict employee compensation components

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      Authors: Andreea L. Erciulescu; Jean D. Opsomer
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1503-1520, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12587
      Issue No: Vol. 71, No. 5 (2022)
       
  • Efficient estimation of the marginal mean of recurrent events

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      Authors: Giuliana Cortese; Thomas H. Scheike
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1787-1821, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12586
      Issue No: Vol. 71, No. 5 (2022)
       
  • Measuring diachronic sense change: New models and Monte Carlo methods
           for Bayesian inference

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      Authors: Schyan Zafar; Geoff K. Nicholls
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1569-1604, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12591
      Issue No: Vol. 71, No. 5 (2022)
       
  • Score test for assessing the conditional dependence in latent class models
           and its application to record linkage

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      Authors: Huiping Xu; Xiaochun Li, Zuoyi Zhang, Shaun Grannis
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1663-1687, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12590
      Issue No: Vol. 71, No. 5 (2022)
       
  • A Bayesian model for estimating Sustainable Development Goal indicator
           4.1.2: School completion rates

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      Authors: Ameer Dharamshi; Bilal Barakat, Leontine Alkema, Manos Antoninis
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1822-1864, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12595
      Issue No: Vol. 71, No. 5 (2022)
       
  • Contour models for physical boundaries enclosing star‐shaped and
           approximately star‐shaped polygons

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      Authors: Hannah M. Director; Adrian E. Raftery
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1688-1720, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12592
      Issue No: Vol. 71, No. 5 (2022)
       
  • A Bayesian spatio‐temporal analysis of markets during the Finnish
           1860s famine

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      Authors: Tiia‐Maria Pasanen; Miikka Voutilainen, Jouni Helske, Harri Högmander
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1282-1302, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12577
      Issue No: Vol. 71, No. 5 (2022)
       
  • Non‐parametric calibration of multiple related radiocarbon
           determinations and their calendar age summarisation

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      Authors: Timothy J. Heaton
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1918-1956, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12599
      Issue No: Vol. 71, No. 5 (2022)
       
  • Modelling time‐varying rankings with autoregressive and
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      Authors: Vladimír Holý; Jan Zouhar
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1427-1450, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12584
      Issue No: Vol. 71, No. 5 (2022)
       
  • Stopping time detection of wood panel compression: A functional
           time‐series approach

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      Authors: Han Lin Shang; Jiguo Cao, Peijun Sang
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1205-1224, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12572
      Issue No: Vol. 71, No. 5 (2022)
       
  • Heterogeneous graphical model for non‐negative and
           non‐Gaussian PM2.5 data

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      Authors: Jiaqi Zhang; Xinyan Fan, Yang Li, Shuangge Ma
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1303-1329, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12575
      Issue No: Vol. 71, No. 5 (2022)
       
  • Robust correspondence analysis

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      Authors: Marco Riani; Anthony C. Atkinson, Francesca Torti, Aldo Corbellini
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1381-1401, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12580
      Issue No: Vol. 71, No. 5 (2022)
       
  • Bayesian modelling strategies for borrowing of information in randomised
           basket trials

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      Authors: Luke O. Ouma; Michael J. Grayling, James M. S. Wason, Haiyan Zheng
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 2014-2037, November 2022.
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      DOI: 10.1111/rssc.12602
      Issue No: Vol. 71, No. 5 (2022)
       
  • Multilevel network item response modelling for discovering differences
           between innovation and regular school systems in Korea

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      Authors: Ick Hoon Jin; Minjeong Jeon, Michael Schweinberger, Jonghyun Yun, Lizhen Lin
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1225-1244, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12569
      Issue No: Vol. 71, No. 5 (2022)
       
  • Optimal approximate choice designs for a two‐step coffee choice, taste
           and choice again experiment

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      Authors: Nedka Dechkova Nikiforova; Rossella Berni, Jesús Fernando López‐Fidalgo
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1895-1917, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12601
      Issue No: Vol. 71, No. 5 (2022)
       
  • Classification of myocardial blood flow based on dynamic
           contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian
           models

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      Authors: Yalei Yang; Hao Gao, Colin Berry, David Carrick, Aleksandra Radjenovic, Dirk Husmeier
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1085-1115, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12568
      Issue No: Vol. 71, No. 5 (2022)
       
  • Non‐parametric Bayesian covariate‐dependent multivariate functional
           clustering: An application to time‐series data for multiple air
           pollutants

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      Authors: Daewon Yang; Taeryon Choi, Eric Lavigne, Yeonseung Chung
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1521-1542, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12589
      Issue No: Vol. 71, No. 5 (2022)
       
  • Flexible domain prediction using mixed effects random forests

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      Authors: Patrick Krennmair; Timo Schmid
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1865-1894, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12600
      Issue No: Vol. 71, No. 5 (2022)
       
  • Derivation of maternal dietary patterns accounting for regional
           heterogeneity

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      Authors: Briana J. K. Stephenson; Amy H. Herring, Andrew F. Olshan
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1957-1977, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12604
      Issue No: Vol. 71, No. 5 (2022)
       
  • Statistical integration of heterogeneous omics data: Probabilistic
           two‐way partial least squares (PO2PLS)

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      Authors: Said el Bouhaddani; Hae‐Won Uh, Geurt Jongbloed, Jeanine Houwing‐Duistermaat
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1451-1470, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12583
      Issue No: Vol. 71, No. 5 (2022)
       
  • Network Hawkes process models for exploring latent hierarchy in social
           animal interactions

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      Authors: Owen G. Ward; Jing Wu, Tian Zheng, Anna L. Smith, James P. Curley
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1402-1426, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12581
      Issue No: Vol. 71, No. 5 (2022)
       
  • Investigating the association of a sensitive attribute with a random
           variable using the Christofides generalised randomised response design and
           Bayesian methods

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      Authors: Shen‐Ming Lee; Truong‐Nhat Le, Phuoc‐Loc Tran, Chin‐Shang Li
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1471-1502, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12585
      Issue No: Vol. 71, No. 5 (2022)
       
  • Spatiotemporal ETAS model with a renewal main‐shock arrival process

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      Authors: Tom Stindl; Feng Chen
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1356-1380, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12579
      Issue No: Vol. 71, No. 5 (2022)
       
  • Specification analysis for technology use and teenager well‐being:
           Statistical validity and a Bayesian proposal

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      Authors: Christoph Semken; David Rossell
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1330-1355, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12578
      Issue No: Vol. 71, No. 5 (2022)
       
  • Dynamic disease screening by joint modelling of survival and longitudinal
           data

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      Authors: Peihua Qiu; Lu You
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1158-1180, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12573
      Issue No: Vol. 71, No. 5 (2022)
       
  • Leveraging network structure to improve pooled testing efficiency

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      Authors: Daniel K. Sewell
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1648-1662, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12594
      Issue No: Vol. 71, No. 5 (2022)
       
  • Semi‐parametric time‐to‐event modelling of lengths
           of hospital stays

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      Authors: Yang Li; Hao Liu, Xiaoshen Wang, Wanzhu Tu
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1623-1647, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12593
      Issue No: Vol. 71, No. 5 (2022)
       
  • Assessing predictive discrimination performance of biomarkers in the
           presence of treatment‐induced dependent censoring

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      Authors: Cuihong Zhang; Jing Ning, Steven H. Belle, Robert H. Squires, Jianwen Cai, Ruosha Li
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1137-1157, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12571
      Issue No: Vol. 71, No. 5 (2022)
       
  • Bayesian nonparametric modelling of multiple graphs with an application to
           ethnic metabolic differences

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      Authors: Marco Molinari; Andrea Cremaschi, Maria De Iorio, Nishi Chaturvedi, Alun D. Hughes, Therese Tillin
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1181-1204, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12570
      Issue No: Vol. 71, No. 5 (2022)
       
  • Combining cytotoxic agents with continuous dose levels in seamless phase
           I‐II clinical trials

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      Authors: José L. Jiménez; Mourad Tighiouart
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1996-2013, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12598
      Issue No: Vol. 71, No. 5 (2022)
       
  • Nowcasting COVID‐19 deaths in England by age and region

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      Authors: Shaun R. Seaman; Pantelis Samartsidis, Meaghan Kall, Daniela De Angelis
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1266-1281, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12576
      Issue No: Vol. 71, No. 5 (2022)
       
  • Sequential one‐step estimator by sub‐sampling for customer churn
           analysis with massive data sets

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      Authors: Feifei Wang; Danyang Huang, Tianchen Gao, Shuyuan Wu, Hansheng Wang
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1753-1786, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12597
      Issue No: Vol. 71, No. 5 (2022)
       
  • A principal stratification approach to estimating the effect of continuing
           treatment after observing early outcomes

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      Authors: Patrick M. Schnell; Richard Baumgartner, Shahrul Mt‐Isa, Vladimir Svetnik
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1065-1084, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12552
      Issue No: Vol. 71, No. 5 (2022)
       
  • Unconventional policies effects on stock market volatility: The MAP
           approach

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      Authors: Demetrio Lacava; Giampiero M. Gallo, Edoardo Otranto
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1245-1265, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12574
      Issue No: Vol. 71, No. 5 (2022)
       
  • The saturated pairwise interaction Gibbs point process as a joint species
           distribution model

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      Authors: Ian Flint; Nick Golding, Peter Vesk, Yan Wang, Aihua Xia
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1721-1752, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12596
      Issue No: Vol. 71, No. 5 (2022)
       
  • Non‐separable spatio‐temporal models via transformed multivariate
           Gaussian Markov random fields

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      Authors: Marcos O. Prates; Douglas R. M. Azevedo, Ying C. MacNab, Michael R. Willig
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1116-1136, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12567
      Issue No: Vol. 71, No. 5 (2022)
       
  • Utility‐based Bayesian personalized treatment selection for advanced
           breast cancer

    • Free pre-print version: Loading...

      Authors: Juhee Lee; Peter F. Thall, Bora Lim, Pavlos Msaouel
      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1605-1622, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12582
      Issue No: Vol. 71, No. 5 (2022)
       
  • Issue Information

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      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 1063-1064, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12507
      Issue No: Vol. 71, No. 5 (2022)
       
  • Contents of volume 71, 2022

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      Abstract: Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 71, Issue 5, Page 2038-2041, November 2022.
      PubDate: 2022-11-18T12:00:00-08:00
      DOI: 10.1111/rssc.12605
      Issue No: Vol. 71, No. 5 (2022)
       
 
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