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The American Statistician
Journal Prestige (SJR): 0.686
Citation Impact (citeScore): 3
Number of Followers: 26  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0003-1305 - ISSN (Online) 1537-2731
Published by Taylor and Francis Homepage  [2651 journals]
  • On Optimal Correlation-Based Prediction

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      Authors: Matteo Bottai, Taeho Kim, Benjamin Lieberman, George Luta, Edsel Peña
      Pages: 313 - 321
      Abstract: Volume 76, Issue 4, November 2022, Page 313-321
      .

      Citation: The American Statistician
      PubDate: 2022-04-22T04:59:23Z
      DOI: 10.1080/00031305.2022.2051604
      Issue No: Vol. 76, No. 4 (2022)
       
  • Comment on “On Optimal Correlation-Based Prediction,” by
           Bottai et al. (2022)

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      Authors: Ronald Christensen
      Pages: 322 - 322
      Abstract: Volume 76, Issue 4, November 2022, Page 322-322
      .

      Citation: The American Statistician
      PubDate: 2022-04-22T04:48:51Z
      DOI: 10.1080/00031305.2022.2055644
      Issue No: Vol. 76, No. 4 (2022)
       
  • Multiple Imputation Inference with Integer-Valued Point Estimates

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      Authors: Bo Liu, Jerome P. Reiter
      Pages: 323 - 328
      Abstract: Volume 76, Issue 4, November 2022, Page 323-328
      .

      Citation: The American Statistician
      PubDate: 2022-01-04T03:51:30Z
      DOI: 10.1080/00031305.2021.2006780
      Issue No: Vol. 76, No. 4 (2022)
       
  • A Review of Adversarial Attack and Defense for Classification Methods

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      Authors: Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee
      Pages: 329 - 345
      Abstract: Volume 76, Issue 4, November 2022, Page 329-345
      .

      Citation: The American Statistician
      PubDate: 2022-01-04T03:55:39Z
      DOI: 10.1080/00031305.2021.2006781
      Issue No: Vol. 76, No. 4 (2022)
       
  • A New Transformation of Treated-Control Matched-Pair Differences for
           Graphical Display

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      Authors: Paul R. Rosenbaum
      Pages: 346 - 352
      Abstract: Volume 76, Issue 4, November 2022, Page 346-352
      .

      Citation: The American Statistician
      PubDate: 2022-05-13T01:36:29Z
      DOI: 10.1080/00031305.2022.2063944
      Issue No: Vol. 76, No. 4 (2022)
       
  • Bias Analysis for Misclassification Errors in both the Response Variable
           and Covariate

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      Authors: Juxin Liu, Annshirley Afful, Holly Mansell, Yanyuan Ma
      Pages: 353 - 362
      Abstract: Volume 76, Issue 4, November 2022, Page 353-362
      .

      Citation: The American Statistician
      PubDate: 2022-05-13T08:00:03Z
      DOI: 10.1080/00031305.2022.2066725
      Issue No: Vol. 76, No. 4 (2022)
       
  • The “Poisson” Distribution: History, Reenactments, Adaptations

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      Authors: James A. Hanley, Sahir Bhatnagar
      Pages: 363 - 371
      Abstract: Volume 76, Issue 4, November 2022, Page 363-371
      .

      Citation: The American Statistician
      PubDate: 2022-03-23T02:07:49Z
      DOI: 10.1080/00031305.2022.2046159
      Issue No: Vol. 76, No. 4 (2022)
       
  • Linearity of Unbiased Linear Model Estimators

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      Authors: Stephen Portnoy
      Pages: 372 - 375
      Abstract: Volume 76, Issue 4, November 2022, Page 372-375
      .

      Citation: The American Statistician
      PubDate: 2022-06-09T07:08:17Z
      DOI: 10.1080/00031305.2022.2076743
      Issue No: Vol. 76, No. 4 (2022)
       
  • Statistical Inference for Method of Moments Estimators of a
           Semi-Supervised Two-Component Mixture Model

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      Authors: Bradley Lubich, Daniel Jeske, Weixin Yao
      Pages: 376 - 383
      Abstract: Volume 76, Issue 4, November 2022, Page 376-383
      .

      Citation: The American Statistician
      PubDate: 2022-09-14T12:26:27Z
      DOI: 10.1080/00031305.2022.2096695
      Issue No: Vol. 76, No. 4 (2022)
       
  • A Practical Approach to Proper Inference with Linked Data

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      Authors: Andee Kaplan, Brenda Betancourt, Rebecca C. Steorts
      Pages: 384 - 393
      Abstract: Volume 76, Issue 4, November 2022, Page 384-393
      .

      Citation: The American Statistician
      PubDate: 2022-03-23T02:05:59Z
      DOI: 10.1080/00031305.2022.2041482
      Issue No: Vol. 76, No. 4 (2022)
       
  • Inference in Experiments Conditional on Observed Imbalances in Covariates
         This is an Open Access Article Open Access Article

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      Authors: Per Johansson, Mattias Nordin
      Pages: 394 - 404
      Abstract: Volume 76, Issue 4, November 2022, Page 394-404
      .

      Citation: The American Statistician
      PubDate: 2022-04-27T01:12:46Z
      DOI: 10.1080/00031305.2022.2054859
      Issue No: Vol. 76, No. 4 (2022)
       
  • The Current State of Undergraduate Bayesian Education and Recommendations
           for the Future

         This is an Open Access Article Open Access Article

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      Authors: Mine Dogucu, Jingchen Hu
      Pages: 405 - 413
      Abstract: Volume 76, Issue 4, November 2022, Page 405-413
      .

      Citation: The American Statistician
      PubDate: 2022-07-19T01:03:03Z
      DOI: 10.1080/00031305.2022.2089232
      Issue No: Vol. 76, No. 4 (2022)
       
  • From Black Box to Shining Spotlight: Using Random Forest Prediction
           Intervals to Illuminate the Impact of Assumptions in Linear Regression

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      Authors: Andrew J. Sage, Yang Liu, Joe Sato
      Pages: 414 - 429
      Abstract: Volume 76, Issue 4, November 2022, Page 414-429
      .

      Citation: The American Statistician
      PubDate: 2022-10-07T08:01:24Z
      DOI: 10.1080/00031305.2022.2107568
      Issue No: Vol. 76, No. 4 (2022)
       
  • Probability, Statistics, and Data: A Fresh Approach Using R

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      Authors: Scott A. Roths
      Pages: 430 - 430
      Abstract: Volume 76, Issue 4, November 2022, Page 430-430
      .

      Citation: The American Statistician
      PubDate: 2022-11-07T10:56:48Z
      DOI: 10.1080/00031305.2022.2126684
      Issue No: Vol. 76, No. 4 (2022)
       
  • Statistical Issues in Drug Development, 3rd ed.

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      Authors: Jie Cui, Haoda Fu
      Pages: 431 - 431
      Abstract: Volume 76, Issue 4, November 2022, Page 431-431
      .

      Citation: The American Statistician
      PubDate: 2022-11-07T10:56:47Z
      DOI: 10.1080/00031305.2022.2126685
      Issue No: Vol. 76, No. 4 (2022)
       
  • Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin
         This is an Open Access Article Open Access Article

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      Authors: Harlan Campbell, Paul Gustafson
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-12-02T07:16:02Z
      DOI: 10.1080/00031305.2022.2139293
       
  • Statistical Guidance to Authors at Top-Ranked Journals across Scientific
           Disciplines

         This is an Open Access Article Open Access Article

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      Authors: Tom E. Hardwicke, Maia Salholz-Hillel, Mario Malički, Dénes Szűcs, Theiss Bendixen, John P. A. Ioannidis
      Pages: 1 - 14
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-12-01T02:06:39Z
      DOI: 10.1080/00031305.2022.2143897
       
  • RafterNet: Probabilistic Predictions in Multi-Response Regression

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      Authors: Marius Hofert, Avinash Prasad, Mu Zhu
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-12-01T02:03:13Z
      DOI: 10.1080/00031305.2022.2141857
       
  • A Look into the Problem of Preferential Sampling through the Lens of
           Survey Statistics

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      Authors: Daniel Vedensky, Paul A. Parker, Scott H. Holan
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-11-28T03:04:25Z
      DOI: 10.1080/00031305.2022.2143898
       
  • Global Simulation Envelopes for Diagnostic Plots in Regression Models
         This is an Open Access Article Open Access Article

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      Authors: David I. Warton
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-11-28T03:00:19Z
      DOI: 10.1080/00031305.2022.2139294
       
  • Mixture of Networks for Clustering Categorical Data: A Penalized Composite
           Likelihood Approach

         This is an Open Access Article Open Access Article

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      Authors: Jangsun Baek, Jeong-Soo Park
      Pages: 1 - 15
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-11-17T01:36:19Z
      DOI: 10.1080/00031305.2022.2141856
       
  • Comment on “On Optimal Correlation-Based Prediction”, By
           Bottai et al. (2022)

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      Authors: Stan Lipovetsky
      Pages: 1 - 1
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-11-15T01:26:44Z
      DOI: 10.1080/00031305.2022.2141879
       
  • The State of Play of Reproducibility in Statistics: An Empirical Analysis

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      Authors: Xin Xiong, Ivor Cribben
      Pages: 1 - 12
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-31T02:31:45Z
      DOI: 10.1080/00031305.2022.2131625
       
  • A Comparative Tutorial of Bayesian Sequential Design and Reinforcement
           Learning

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      Authors: Mauricio Tec, Yunshan Duan, Peter Müller
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-31T02:26:35Z
      DOI: 10.1080/00031305.2022.2129787
       
  • Forbidden Knowledge and Specialized Training: A Versatile Solution for the
           Two Main Sources of Overfitting in Linear Regression

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      Authors: Chris Rohlfs
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-28T07:51:22Z
      DOI: 10.1080/00031305.2022.2128874
       
  • Optimal and Fast Confidence Intervals for Hypergeometric Successes

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      Authors: Jay Bartroff, Gary Lorden, Lijia Wang
      Pages: 1 - 8
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-28T07:42:05Z
      DOI: 10.1080/00031305.2022.2128421
       
  • Bayesian-Frequentist Hybrid Inference in Applications with Small Sample
           Sizes

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      Authors: Gang Han, Thomas J. Santner, Haiqun Lin, Ao Yuan
      Pages: 1 - 8
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-28T07:34:35Z
      DOI: 10.1080/00031305.2022.2127897
       
  • Athlete Recruitment and the Myth of the Sophomore Peak

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      Authors: Monnie McGee, Benjamin Williams, Jacy Sparks
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-28T07:31:03Z
      DOI: 10.1080/00031305.2022.2127896
       
  • The Cauchy Combination Test under Arbitrary Dependence Structures

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      Authors: Mingya Long, Zhengbang Li, Wei Zhang, Qizhai Li
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-11T01:24:11Z
      DOI: 10.1080/00031305.2022.2116109
       
  • Estimating Knee Movement Patterns of Recreational Runners Across Training
           Sessions Using Multilevel Functional Regression Models

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      Authors: Marcos Matabuena, Marta Karas, Sherveen Riazati, Nick Caplan, Philip R. Hayes
      Pages: 1 - 13
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-10-07T07:59:20Z
      DOI: 10.1080/00031305.2022.2105950
       
  • Using the Lambert Function to Estimate Shared Frailty Models with a
           Normally Distributed Random Intercept

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      Authors: Hadrien Charvat
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-09-26T05:47:49Z
      DOI: 10.1080/00031305.2022.2110939
       
  • How Do We Perform a Paired t-Test When We Don’t Know How to
           Pair'

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      Authors: Michael Grabchak
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-09-26T03:18:43Z
      DOI: 10.1080/00031305.2022.2115552
       
  • The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale
         This is an Open Access Article Open Access Article

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      Authors: Alan D. Hutson, Han Yu
      Pages: 1 - 6
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-09-23T06:24:21Z
      DOI: 10.1080/00031305.2022.2110938
       
  • On Arbitrarily Underdispersed Discrete Distributions

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      Authors: Alan Huang
      Pages: 1 - 6
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-09-16T06:35:07Z
      DOI: 10.1080/00031305.2022.2106305
       
  • A Comparison of Bayesian Multivariate Versus Univariate Normal Regression
           Models for Prediction

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      Authors: Xun Li, Joyee Ghosh, Gabriele Villarini
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-07-19T01:01:39Z
      DOI: 10.1080/00031305.2022.2087735
       
  • Interactive Exploration of Large Dendrograms with Prototypes

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      Authors: Andee Kaplan, Jacob Bien
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-07-11T12:23:07Z
      DOI: 10.1080/00031305.2022.2087734
       
  • Data Privacy Protection and Utility Preservation through Bayesian Data
           Synthesis: A Case Study on Airbnb Listings

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      Authors: Shijie Guo, Jingchen Hu
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-07-05T01:02:58Z
      DOI: 10.1080/00031305.2022.2077440
       
  • The Probability Mass Function of the Kaplan–Meier
           Product–Limit Estimator

         This is an Open Access Article Open Access Article

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      Authors: Yuxin Qin, Heather Sasinowska, Lawrence Leemis
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-05-24T04:32:13Z
      DOI: 10.1080/00031305.2022.2070279
       
  • Black Box Variational Bayesian Model Averaging

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      Authors: Vojtech Kejzlar, Shrijita Bhattacharya, Mookyong Son, Tapabrata Maiti
      Pages: 1 - 12
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-04-29T12:16:05Z
      DOI: 10.1080/00031305.2022.2058611
       
  • “Two Truths and a Lie” as a Class-Participation Activity

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      Authors: Andrew Gelman
      Pages: 1 - 5
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-04-28T12:23:59Z
      DOI: 10.1080/00031305.2022.2058612
       
  • Assignment-Control Plots: A Visual Companion for Causal Inference Study
           Design

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      Authors: Rachael C. Aikens, Michael Baiocchi
      Pages: 1 - 13
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-04-11T01:49:15Z
      DOI: 10.1080/00031305.2022.2051605
       
  • Coherent Tests for Interval Null Hypotheses

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      Authors: Spencer Hansen, Ken Rice
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-04-08T04:51:36Z
      DOI: 10.1080/00031305.2022.2050299
       
  • A Study on the Power Parameter in Power Prior Bayesian Analysis

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      Authors: Zifei Han, Keying Ye, Min Wang
      Pages: 1 - 8
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-03-23T02:10:11Z
      DOI: 10.1080/00031305.2022.2046160
       
  • Analytical Problem Solving Based on Causal, Correlational and Deductive
           Models

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      Authors: Jeroen de Mast, Stefan H. Steiner, Wim P. M. Nuijten, Daniel Kapitan
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-03-10T08:57:50Z
      DOI: 10.1080/00031305.2021.2023633
       
  • Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process
           Priors

         This is an Open Access Article Open Access Article

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      Authors: Joris Mulder
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-02-28T01:39:32Z
      DOI: 10.1080/00031305.2022.2028675
       
  • A Statistical Basis for Reporting Strength of Evidence as Pool Reduction

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      Authors: Dan J. Spitzner
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2022-02-25T04:37:53Z
      DOI: 10.1080/00031305.2022.2026478
       
 
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