Journal of the American Statistical Association

2008 - 2024

Continuation of Journal of the American Statistical Association.

Current editor(s): Xuming He, Jun Liu, Joseph Ibrahim and Alyson Wilson

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Volume 112, issue 520, 2017

A Case Study in Personalized Medicine: Rilpivirine Versus Efavirenz for Treatment-Naive HIV Patients pp. 1381-1392

Wei Liu, Zhiwei Zhang, Lei Nie and Guoxing Soon

PLEMT: A Novel Pseudolikelihood-Based EM Test for Homogeneity in Generalized Exponential Tilt Mixture Models pp. 1393-1404

Chuan Hong, Yang Ning, Shuang Wang, Hao Wu, Raymond J. Carroll and Yong Chen

Conditional Spectral Analysis of Replicated Multiple Time Series With Application to Nocturnal Physiology pp. 1405-1416

Robert T. Krafty, Ori Rosen, David S. Stoffer, Daniel J. Buysse and Martica H. Hall

The Design and Analysis for the Icing Wind Tunnel Experiment of a New Deicing Coating pp. 1417-1429

Xiaodong Li, Xu He, Yuanzhen He, Hui Zhang, Zhong Zhang and Dennis K. J. Lin

Bayesian Nonparametric Ordination for the Analysis of Microbial Communities pp. 1430-1442

Boyu Ren, Sergio Bacallado, Stefano Favaro, Susan Holmes and Lorenzo Trippa

Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program pp. 1443-1452

Caleb H. Miles, Ilya Shpitser, Phyllis Kanki, Seema Meloni and Eric J. Tchetgen Tchetgen

Upscaling Uncertainty with Dynamic Discrepancy for a Multi-Scale Carbon Capture System pp. 1453-1467

K. Sham Bhat, David S. Mebane, Priyadarshi Mahapatra and Curtis B. Storlie

Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies pp. 1468-1476

Ran Tao, Donglin Zeng and Dan-Yu Lin

Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models pp. 1477-1489

D. L. Oberski, A. Kirchner, S. Eckman and F. Kreuter

Intraday Stochastic Volatility in Discrete Price Changes: The Dynamic Skellam Model pp. 1490-1503

Siem Jan Koopman, Rutger Lit and Andre Lucas

A Probabilistic Record Linkage Model for Survival Data pp. 1504-1515

Michel H. Hof, Anita C. Ravelli and Aeilko H. Zwinderman

Nonparametric Bayes Modeling of Populations of Networks pp. 1516-1530

Daniele Durante, David B. Dunson and Joshua T. Vogelstein

Comment: Extending the Latent Position Model for Networks pp. 1531-1534

Adrian E. Raftery

Comment: Nonparametric Bayes Modeling of Populations of Networks pp. 1534-1537

Tamara Broderick

Comment pp. 1537-1539

Mark S. Handcock

Comment: Nonparametric Bayes Modeling of Populations of Networks pp. 1539-1543

Nicholas J. Foti and Emily B. Fox

Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks” pp. 1543-1547

Scott W. Linderman and David M. Blei

Rejoinder: Nonparametric Bayes Modeling of Populations of Networks pp. 1547-1552

Daniele Durante, David B. Dunson and Joshua T. Vogelstein

Linear Model Selection When Covariates Contain Errors pp. 1553-1561

Xinyu Zhang, Haiying Wang, Yanyuan Ma and Raymond J. Carroll

Bootstrap Variance Estimation for Rejective Sampling pp. 1562-1570

Wayne A. Fuller, Jason C. Legg and Yang Li

Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling pp. 1571-1586

Gongjun Xu, Tony Sit, Lan Wang and Chiung-Yu Huang

Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods pp. 1587-1597

Kyle R. White, Leonard A. Stefanski and Yichao Wu

The Hamming Ball Sampler pp. 1598-1611

Michalis K. Titsias and Christopher Yau

Rotated Sphere Packing Designs pp. 1612-1622

Xu He

Frequency of Frequencies Distributions and Size-Dependent Exchangeable Random Partitions pp. 1623-1635

Mingyuan Zhou, Stefano Favaro and Stephen G Walker

The Iterated Auxiliary Particle Filter pp. 1636-1647

Pieralberto Guarniero, Adam Johansen and Anthony Lee

A Semiparametric Single-Index Risk Score Across Populations pp. 1648-1662

Shujie Ma, Yanyuan Ma, Yanqing Wang, Eli S. Kravitz and Raymond J. Carroll

A Simple Parametric Model Selection Test pp. 1663-1674

Susanne Schennach and Daniel Wilhelm

Composite Designs Based on Orthogonal Arrays and Definitive Screening Designs pp. 1675-1683

Yong-Dao Zhou and Hongquan Xu

Density Level Sets: Asymptotics, Inference, and Visualization pp. 1684-1696

Yen-Chi Chen, Christopher R. Genovese and Larry Wasserman

Network Reconstruction From High-Dimensional Ordinary Differential Equations pp. 1697-1707

Shizhe Chen, Ali Shojaie and Daniela M. Witten

Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data pp. 1708-1719

Daniel Manrique-Vallier and Jerome P. Reiter

Bootstrap Inference of Matching Estimators for Average Treatment Effects pp. 1720-1732

Taisuke Otsu and Yoshiyasu Rai

Statistical Tests for Large Tree-Structured Data pp. 1733-1743

Karthik Bharath, Prabhanjan Kambadur, Dipak. K. Dey, Arvind Rao and Veerabhadran Baladandayuthapani

Estimation of the Continuous and Discontinuous Leverage Effects pp. 1744-1758

Yacine Ait-Sahalia, Jianqing Fan, Roger Laeven, Christina Dan Wang and Xiye Yang

General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference pp. 1759-1769

Xinran Li and Peng Ding

Correction pp. 1770-1770

Samuel D. Pimentel, Rachel R. Kelz, Jeffrey H. Silber and Paul R. Rosenbaum

Book Reviews pp. 1771-1783

The Editors

Editorial Collaborators pp. 1784-1791

The Editors

Editorial Board EOV pp. ebi-ebi

The Editors

Volume 112, issue 519, 2017

Statistical Significance and the Dichotomization of Evidence pp. 885-895

Blakeley B. McShane and David Gal

A -Value to Die For pp. 895-897

Donald Berry

The Substitute for -Values pp. 897-898

William M. Briggs

Some Natural Solutions to the -Value Communication Problem—and Why They Won’t Work pp. 899-901

Andrew Gelman and John Carlin

Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians pp. 902-904

Eric B. Laber and Kerby Shedden

Rejoinder: Statistical Significance and the Dichotomization of Evidence pp. 904-908

Blakeley B. McShane and David Gal

Optimal Seed Deployment Under Climate Change Using Spatial Models: Application to Loblolly Pine in the Southeastern US pp. 909-920

Alfredo Farjat, Brian J. Reich, Joseph Guinness, Ross Whetten, Steven McKeand and Fikret Isik

Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach pp. 921-932

Ethan X. Fang, Min-Dian Li, Michael I. Jordan and Han Liu

Mortality Rate Estimation and Standardization for Public Reporting: Medicare’s Hospital Compare pp. 933-947

E. I. George, V. Ročková, P. R. Rosenbaum, V. A. Satopää and J. H. Silber

“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling pp. 948-965

Mike Tsionas

Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies pp. 966-978

Zihuai He, Min Zhang, Seunggeun Lee, Jennifer A. Smith, Sharon L. R. Kardia, V. Diez Roux and Bhramar Mukherjee

A Geometric Approach to Visualization of Variability in Functional Data pp. 979-993

Weiyi Xie, Sebastian Kurtek, Karthik Bharath and Ying Sun

Finding Common Modules in a Time-Varying Network with Application to the Gene Regulation Network pp. 994-1008

Jingfei Zhang and Jiguo Cao

MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction pp. 1009-1021

Hongtu Zhu, Dan Shen, Xuewei Peng and Leo Yufeng Liu

Constructing Predictive Microbial Signatures at Multiple Taxonomic Levels pp. 1022-1031

Tao Wang and Hongyu Zhao

Sparse Simultaneous Signal Detection for Identifying Genetically Controlled Disease Genes pp. 1032-1046

Sihai Dave Zhao, T. Tony Cai, Thomas P. Cappola, Kenneth B. Margulies and Hongzhe Li

Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection pp. 1047-1063

Wesley Tansey, Alex Athey, Alex Reinhart and James G. Scott

Empirical Likelihood for Random Sets pp. 1064-1075

Karun Adusumilli and Taisuke Otsu

Automatic Optimal Batch Size Selection for Recursive Estimators of Time-Average Covariance Matrix pp. 1076-1089

Kin Wai Chan and Chun Yip Yau

Continuous Time Analysis of Fleeting Discrete Price Moves pp. 1090-1106

Neil Shephard and Justin J. Yang

Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces pp. 1107-1120

Yun Yang and Surya T. Tokdar

On Modeling and Estimation for the Relative Risk and Risk Difference pp. 1121-1130

Thomas S. Richardson, James M. Robins and Linbo Wang

Parsimonious Tensor Response Regression pp. 1131-1146

Lexin Li and Xin Zhang

Estimation of Monotone Treatment Effects in Network Experiments pp. 1147-1155

David Choi

Generalized Scalar-on-Image Regression Models via Total Variation pp. 1156-1168

Xiao Wang and Hongtu Zhu

A Functional Varying-Coefficient Single-Index Model for Functional Response Data pp. 1169-1181

Jialiang Li, Chao Huang and Zhub Hongtu

Clustering Huge Number of Financial Time Series: A Panel Data Approach With High-Dimensional Predictors and Factor Structures pp. 1182-1198

Tomohiro Ando and Jushan Bai

Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data pp. 1199-1210

Simon N. Wood, Zheyuan Li, Gavin Shaddick and Nicole H. Augustin

Robust Permutation Tests For Correlation And Regression Coefficients pp. 1211-1220

Cyrus J. DiCiccio and Joseph P. Romano

Estimation in the Semiparametric Accelerated Failure Time Model With Missing Covariates: Improving Efficiency Through Augmentation pp. 1221-1235

Jon Arni Steingrimsson and Robert L. Strawderman

Tukey -and- Random Fields pp. 1236-1249

Ganggang Xu and Marc G. Genton

Semiparametric Inference in a Genetic Mixture Model pp. 1250-1260

Pengfei Li, Yukun Liu and Jing Qin

Extrinsic Local Regression on Manifold-Valued Data pp. 1261-1273

Lizhen Lin, Brian St. Thomas, Hongtu Zhu and David B. Dunson

Bayesian Calibration of Inexact Computer Models pp. 1274-1285

Matthew Plumlee

Estimating Population Size With Link-Tracing Sampling pp. 1286-1295

Kyle Vincent and Steve Thompson

An Effective Semiparametric Estimation Approach for the Sufficient Dimension Reduction Model pp. 1296-1310

Ming-Yueh Huang and Chin-Tsang Chiang

On Theoretically Optimal Ranking Functions in Bipartite Ranking pp. 1311-1322

Kazuki Uematsu and Yoonkyung Lee

Joint Selection in Mixed Models using Regularized PQL pp. 1323-1333

Francis K. C. Hui, Samuel Müller and A. H. Welsh

Fixed- Asymptotic Inference About Tail Properties pp. 1334-1343

Ulrich K. Müller and Yulong Wang

A Group-Specific Recommender System pp. 1344-1353

Xuan Bi, Annie Qu, Junhui Wang and Xiaotong Shen

Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs pp. 1354-1369

Eric D. Schoen, Nha Vo-Thanh and Peter Goos

Book Reviews pp. 1370-1379

The Editors

Volume 112, issue 518, 2017

Bayesian Hierarchical Multi-Population Multistate Jolly–Seber Models With Covariates: Application to the Pallid Sturgeon Population Assessment Program pp. 471-483

Guohui Wu and Scott H. Holan

A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses pp. 484-496

Giampiero Marra, Rosalba Radice, Till Bärnighausen, Simon N. Wood and Mark McGovern

Modeling Spatial Covariance Using the Limiting Distribution of Spatio-Temporal Random Walks pp. 497-507

Ephraim M. Hanks

Bayesian Phase I/II Biomarker-Based Dose Finding for Precision Medicine With Molecularly Targeted Agents pp. 508-520

Beibei Guo and Ying Yuan

Landmark-Constrained Elastic Shape Analysis of Planar Curves pp. 521-533

Justin Strait, Sebastian Kurtek, Emily Bartha and Steven N. MacEachern

Latent Class Survival Models Linked by Principal Stratification to Investigate Heterogenous Survival Subgroups Among Individuals With Early-Stage Kidney Cancer pp. 534-546

Brian L. Egleston, Robert G. Uzzo and Yu-Ning Wong

Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System pp. 547-560

José R. Zubizarreta and Luke Keele

A New Bayesian Test to Test for the Intractability-Countering Hypothesis pp. 561-577

Dalia Chakrabarty

Basis Function Models for Animal Movement pp. 578-589

Mevin B. Hooten and Devin S. Johnson

Instrumental Variable Methods for Conditional Effects and Causal Interaction in Voter Mobilization Experiments pp. 590-599

Matthew Blackwell

Bayesian Estimation of Bipartite Matchings for Record Linkage pp. 600-612

Mauricio Sadinle

Restoration of Monotonicity Respecting in Dynamic Regression pp. 613-622

Yijian Huang

Independent Component Analysis via Distance Covariance pp. 623-637

David S. Matteson and Ruey S. Tsay

Interactive -Learning for Quantiles pp. 638-649

Kristin A. Linn, Eric B. Laber and Leonard A. Stefanski

Variable Screening via Quantile Partial Correlation pp. 650-663

Shujie Ma, Runze Li and Chih-Ling Tsai

A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data pp. 664-672

Qingning Zhou, Tao Hu and Jianguo Sun

Hierarchical Latin Hypercube Sampling pp. 673-682

Vikram V. Garg and Roy H. Stogner

A Method of Constructing Space-Filling Orthogonal Designs pp. 683-689

Fasheng Sun and Boxin Tang

Function-on-Function Linear Regression by Signal Compression pp. 690-705

Ruiyan Luo and Xin Qi

Testing for Structural Breaks via Ordinal Pattern Dependence pp. 706-720

Alexander Schnurr and Herold Dehling

Random Partition Distribution Indexed by Pairwise Information pp. 721-732

David B. Dahl, Ryan Day and Wei-Che Tsai

A Bayesian Multivariate Functional Dynamic Linear Model pp. 733-744

Daniel R. Kowal, David S. Matteson and David Ruppert

Evaluating Utility Measurement From Recurrent Marker Processes in the Presence of Competing Terminal Events pp. 745-756

Yifei Sun and Mei-Cheng Wang

Simultaneous Inference for High-Dimensional Linear Models pp. 757-768

Xianyang Zhang and Guang Cheng

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation pp. 769-778

Ailin Fan, Rui Song and Wenbin Lu

Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework pp. 779-793

Yang Ni, Francesco C. Stingo and Veerabhadran Baladandayuthapani

Joint Scale-Change Models for Recurrent Events and Failure Time pp. 794-805

Gongjun Xu, Sy Han Chiou, Chiung-Yu Huang, Mei-Cheng Wang and Jun Yan

Fully Nonparametric Regression for Bounded Data Using Dependent Bernstein Polynomials pp. 806-825

Andrés F. Barrientos, Alejandro Jara and Fernando A. Quintana

Nonparametric Benefit–Risk Assessment Using Marker Process in the Presence of a Terminal Event pp. 826-836

Yifei Sun, Chiung-Yu Huang and Mei-Cheng Wang

Accumulation Tests for FDR Control in Ordered Hypothesis Testing pp. 837-849

Ang Li and Rina Foygel Barber

Estimation Under Cross-Classified Sampling With Application to a Childhood Survey pp. 850-858

Hélène Juillard, Guillaume Chauvet and Anne Ruiz-Gazen

Variational Inference: A Review for Statisticians pp. 859-877

David M. Blei, Alp Kucukelbir and Jon D. McAuliffe

Book Reviews pp. 878-882

The Editors

Correction pp. 883-883

Sokbae (Simon) Lee, Myung Hwan Seo and Youngki Shin

Volume 112, issue 517, 2017

On the Reproducibility of Psychological Science pp. 1-10

Valen E. Johnson, Richard D. Payne, Tianying Wang, Alex Asher and Soutrik Mandal

Robust Treatment Comparison Based on Utilities of Semi-Competing Risks in Non-Small-Cell Lung Cancer pp. 11-23

Thomas A. Murray, Peter F. Thall, Ying Yuan, Sarah McAvoy and Daniel R. Gomez

A Directional Mixed Effects Model for Compositional Expenditure Data pp. 24-36

J. L. Scealy and A. H. Welsh

Bayesian Treed Calibration: An Application to Carbon Capture With AX Sorbent pp. 37-53

Bledar A. Konomi, Georgios Karagiannis, Kevin Lai and Guang Lin

Defining Cancer Subtypes With Distinctive Etiologic Profiles: An Application to the Epidemiology of Melanoma pp. 54-63

Audrey Mauguen, Emily C. Zabor, Nancy E. Thomas, Marianne Berwick, Venkatraman E. Seshan and Colin B. Begg

The Generalized Higher Criticism for Testing SNP-Set Effects in Genetic Association Studies pp. 64-76

Ian Barnett, Rajarshi Mukherjee and Xihong Lin

A Bayesian Race Model for Recognition Memory pp. 77-91

Sungmin Kim, Kevin Potter, Peter F. Craigmile, Mario Peruggia and Trisha Van Zandt

Spatiotemporal Modeling of Node Temperatures in Supercomputers pp. 92-108

Curtis B. Storlie, Brian J. Reich, William N. Rust, Lawrence O. Ticknor, Amanda M. Bonnie, Andrew J. Montoya and Sarah E. Michalak

A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention pp. 109-126

Michael W. Robbins, Jessica Saunders and Beau Kilmer

Forecasting Generalized Quantiles of Electricity Demand: A Functional Data Approach pp. 127-136

Brenda López Cabrera and Franziska Schulz

Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing pp. 137-168

M. P. Wand

Comment pp. 156-158

Dustin Tran and David M. Blei

Comment pp. 158-161

Wanzhu Tu

Comment pp. 161-164

Philip T. Reiss and Jeff Goldsmith

Comment pp. 164-166

Simon N. Wood

Rejoinder pp. 166-168

M. P. Wand

Residual Weighted Learning for Estimating Individualized Treatment Rules pp. 169-187

Xin Zhou, Nicole Mayer-Hamblett, Umer Khan and Michael R. Kosorok

Weighted Statistic in Detecting Faint and Sparse Alternatives for High-Dimensional Covariance Matrices pp. 188-200

Qing Yang and Guangming Pan

A Multi-Resolution Approximation for Massive Spatial Datasets pp. 201-214

Matthias Katzfuss

Dynamic Multiscale Spatiotemporal Models for Poisson Data pp. 215-234

Thaís C. O. Fonseca and Marco A. R. Ferreira

A Dynamic Structure for High-Dimensional Covariance Matrices and Its Application in Portfolio Allocation pp. 235-253

Shaojun Guo, John Leigh Box and Wenyang Zhang

Nonlocal Priors for High-Dimensional Estimation pp. 254-265

David Rossell and Donatello Telesca

Covariance Regression Analysis pp. 266-281

Tao Zou, Wei Lan, Hansheng Wang and Chih-Ling Tsai

Partition MCMC for Inference on Acyclic Digraphs pp. 282-299

Jack Kuipers and Giusi Moffa

Augmented Particle Filters pp. 300-313

Jonghyun Yun, Fan Yang and Yuguo Chen

Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets pp. 314-320

Roderick J. Little, Donald B. Rubin and Sahar Z. Zangeneh

Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies pp. 321-331

Colin B. Fogarty, Pixu Shi, Mark E. Mikkelsen and Dylan S. Small

Robust Jump Regressions pp. 332-341

Jia Li, Viktor Todorov and George Tauchen

Promoting Similarity of Sparsity Structures in Integrative Analysis With Penalization pp. 342-350

Yuan Huang, Qingzhao Zhang, Sanguo Zhang, Jian Huang and Shuangge Ma

Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events pp. 351-362

Kwun Chuen Gary Chan and Mei-Cheng Wang

Geometric Representations of Random Hypergraphs pp. 363-383

Simón Lunagómez, Sayan Mukherjee, Robert L. Wolpert and Edoardo M. Airoldi

Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency pp. 384-396

Ilze Kalnina and Dacheng Xiu

A New Graph-Based Two-Sample Test for Multivariate and Object Data pp. 397-409

Hao Chen and Jerome H. Friedman

A Concave Pairwise Fusion Approach to Subgroup Analysis pp. 410-423

Shujie Ma and Jian Huang

Shrinkage Estimation for Multivariate Hidden Markov Models pp. 424-435

Mark Fiecas, Jürgen Franke, Rainer von Sachs and Joseph Tadjuidje Kamgaing

Robust Maximum Association Estimators pp. 436-445

Andreas Alfons, Christophe Croux and Peter Filzmoser

Cluster-Robust Bootstrap Inference in Quantile Regression Models pp. 446-456

Andreas Hagemann

Book Reviews pp. 457-464

The Editors

Correction pp. 465-465

The Editors

Correction pp. 466-469

The Editors