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 116, issue 536, 2021

Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data pp. 1561-1577

Corbin Quick, Rounak Dey and Xihong Lin

Statistical Models for COVID-19 Incidence, Cumulative Prevalence, and R t pp. 1578-1582

Nicholas P. Jewell

Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data” pp. 1583-1586

Jyotishka Datta and Bhramar Mukherjee

Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data” pp. 1587-1590

Natalie Dean and Yang Yang

Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data pp. 1591-1594

Corbin Quick, Rounak Dey and Xihong Lin

IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses pp. 1595-1608

Zhigang Li, Lu Tian, A. James O’Malley, Margaret R. Karagas, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Quran Wu, Raad Z. Gharaibeh, Christian Jobin and Hongzhe Li

Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization pp. 1609-1624

Yutong Li, Ruoqing Zhu, Annie Qu, Han Ye and Zhankun Sun

Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes pp. 1625-1636

Colin B. Fogarty, Kwonsang Lee, Rachel R. Kelz and Luke J. Keele

A Bayesian State-Space Approach to Mapping Directional Brain Networks pp. 1637-1647

Huazhang Li, Yaotian Wang, Guofen Yan, Yinge Sun, Seiji Tanabe, Chang-Chia Liu, Mark S. Quigg and Tingting Zhang

A Semiparametric Kernel Independence Test With Application to Mutational Signatures pp. 1648-1661

DongHyuk Lee and Bin Zhu

Forecasting Unemployment Using Internet Search Data via PRISM pp. 1662-1673

Dingdong Yi, Shaoyang Ning, Chia-Jung Chang and S. C. Kou

Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates pp. 1674-1687

Junhyung Park, Frederic Paik Schoenberg, Andrea L. Bertozzi and P. Jeffrey Brantingham

Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms pp. 1688-1699

Fan Zhou, Shikai Luo, Xiaohu Qie, Jieping Ye and Hongtu Zhu

A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section pp. 1700-1712

Jincheng Zhou, James S. Hodges and Haitao Chu

Introduction to the Special Section on Synthetic Control Methods pp. 1713-1715

Alberto Abadie and Matias Cattaneo

Matrix Completion Methods for Causal Panel Data Models pp. 1716-1730

Susan Athey, Mohsen Bayati, Nikolay Doudchenko, Guido Imbens and Khashayar Khosravi

On Robustness of Principal Component Regression pp. 1731-1745

Anish Agarwal, Devavrat Shah, Dennis Shen and Dogyoon Song

Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data pp. 1746-1763

Jushan Bai and Serena Ng

On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls pp. 1764-1772

Bruno Ferman

Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity pp. 1773-1788

Ricardo Masini and Marcelo Medeiros

The Augmented Synthetic Control Method pp. 1789-1803

Eli Ben-Michael, Avi Feller and Jesse Rothstein

Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation pp. 1804-1816

Maxwell Kellogg, Magne Mogstad, Guillaume A. Pouliot and Alexander Torgovitsky

A Penalized Synthetic Control Estimator for Disaggregated Data pp. 1817-1834

Alberto Abadie and Jérémy L’Hour

Randomization Tests in Observational Studies With Staggered Adoption of Treatment pp. 1835-1848

Azeem Shaikh and Panos Toulis

An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls pp. 1849-1864

Victor Chernozhukov, Kaspar Wüthrich and Yinchu Zhu

Prediction Intervals for Synthetic Control Methods pp. 1865-1880

Matias Cattaneo, Yingjie Feng and Rocio Titiunik

Depth for Curve Data and Applications pp. 1881-1897

Pierre Lafaye de Micheaux, Pavlo Mozharovskyi and Myriam Vimond

Randomization Tests for Weak Null Hypotheses in Randomized Experiments pp. 1898-1913

Jason Wu and Peng Ding

Integrating Multisource Block-Wise Missing Data in Model Selection pp. 1914-1927

Fei Xue and Annie Qu

Estimating Mixed Memberships With Sharp Eigenvector Deviations pp. 1928-1940

Xueyu Mao, Purnamrita Sarkar and Deepayan Chakrabarti

Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs pp. 1941-1952

Matias Cattaneo, Luke Keele, Rocío Titiunik and Gonzalo Vazquez-Bare

Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation pp. 1953-1964

Xu Shi, Xiaoou Li and Tianxi Cai

Bayesian Projected Calibration of Computer Models pp. 1965-1982

Fangzheng Xie and Yanxun Xu

Smooth Backfitting of Proportional Hazards With Multiplicative Components pp. 1983-1993

Munir Hiabu, Enno Mammen, M. Dolores Martínez-Miranda and Jens P. Nielsen

Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression pp. 1994-2008

Xinyi Li, Li Wang and Huixia Judy Wang

A New Coefficient of Correlation pp. 2009-2022

Sourav Chatterjee

Modeling Network Populations via Graph Distances pp. 2023-2040

Simón Lunagómez, Sofia C. Olhede and Patrick J. Wolfe

Efficiently Backtesting Conditional Value-at-Risk and Conditional Expected Shortfall pp. 2041-2052

Qihui Su, Zhongling Qin, Liang Peng and Gengsheng Qin

The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms pp. 2053-2064

Guillaume Gerber, Yohann Le Faou, Olivier Lopez and Michael Trupin

Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models pp. 2065-2086

Alan Julian Izenman

What are the Most Important Statistical Ideas of the Past 50 Years? pp. 2087-2097

Andrew Gelman and Aki Vehtari

Advanced Survival Models pp. 2098-2099

Sangwook Kang

Correction pp. 2100-2100

The Editors

Volume 116, issue 535, 2021

Back to Our Future: Text Analytics Insights pp. 1039-1047

Wendy L. Martinez

Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts pp. 1048-1059

Claudio Heinrich, Kristoffer H. Hellton, Alex Lenkoski and Thordis L. Thorarinsdottir

Network Dependence Can Lead to Spurious Associations and Invalid Inference pp. 1060-1074

Youjin Lee and Elizabeth L. Ogburn

Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology pp. 1075-1087

Abhra Sarkar, Debdeep Pati, Bani K. Mallick and Raymond J. Carroll

Nonparametric Estimation of Galaxy Cluster Emissivity and Detection of Point Sources in Astrophysics With Two Lasso Penalties pp. 1088-1099

Jairo Diaz-Rodriguez, Dominique Eckert, Hatef Monajemi, Stéphane Paltani and Sylvain Sardy

Evaluating Proxy Influence in Assimilated Paleoclimate Reconstructions—Testing the Exchangeability of Two Ensembles of Spatial Processes pp. 1100-1113

Trevor Harris, Bo Li, Nathan J. Steiger, Jason E. Smerdon, Naveen Narisetty and J. Derek Tucker

Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults pp. 1114-1127

Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran and Abhra Sarkar

Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning pp. 1128-1139

Rachel C. Nethery, Fabrizia Mealli, Jason D. Sacks and Francesca Dominici

High-Dimensional Precision Medicine From Patient-Derived Xenografts pp. 1140-1154

Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen, Michael T. Lawson, Longshaokan Wang, Yunshu Zhang, Eric B. Laber, Yufeng Liu, Jen Jen Yeh, Donglin Zeng and Michael R. Kosorok

Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data pp. 1155-1167

Malka Gorfine, Nir Keret, Asaf Ben Arie, David Zucker and Li Hsu

Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations pp. 1168-1180

Md Kamrul Hasan Khan, Avishek Chakraborty, Giovanni Petris and Barry T. Wilson

A Gibbs Sampler for a Class of Random Convex Polytopes pp. 1181-1192

Pierre E. Jacob, Ruobin Gong, Paul T. Edlefsen and Arthur P. Dempster

Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1193-1195

Persi Diaconis and Guanyang Wang

Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes,” by Pierre E. Jacob, Ruobin Gong, Paul T. Edlefsen, and Arthur P. Dempster pp. 1196-1197

Glenn Shafer

Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1198-1200

Jonathan P Williams

Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1201-1203

Earl Lawrence and Scott Vander Wiel

Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” by P.E. Jacob, R. Gong, P.T. Edlefsen and A.P. Dempster pp. 1204-1205

Fabrizio Ruggeri

Comments on “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1206-1210

Kentaro Hoffman, Jan Hannig and Kai Zhang

Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes pp. 1211-1214

Pierre E. Jacob, Ruobin Gong, Paul T. Edlefsen and Arthur P. Dempster

Scalable Collaborative Ranking for Personalized Prediction pp. 1215-1223

Ben Dai, Xiaotong Shen, Junhui Wang and Annie Qu

ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion pp. 1224-1236

Yixuan Qiu and Xiao Wang

Optimal Estimation of Wasserstein Distance on a Tree With an Application to Microbiome Studies pp. 1237-1253

Shulei Wang, T. Tony Cai and Hongzhe Li

Complier Stochastic Direct Effects: Identification and Robust Estimation pp. 1254-1264

Kara E. Rudolph, Oleg Sofrygin and Mark J. van der Laan

Trends in Extreme Value Indices pp. 1265-1279

Laurens de Haan and Chen Zhou

Individualized Multidirectional Variable Selection pp. 1280-1296

Xiwei Tang, Fei Xue and Annie Qu

Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists pp. 1297-1306

Lax Chan, Bernard W. Silverman and Kyle Vincent

Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation pp. 1307-1318

Chengchun Shi, Rui Song, Wenbin Lu and Runze Li

Semiparametric Inference for the Functional Cox Model pp. 1319-1329

Meiling Hao, Kin-yat Liu, Wei Xu and Xingqiu Zhao

Regression Models and Multivariate Life Tables pp. 1330-1345

Ross L. Prentice and Shanshan Zhao

Nonparametric Estimation of Conditional Expectation with Auxiliary Information and Dimension Reduction pp. 1346-1357

Bingying Xie and Jun Shao

Optimal Permutation Recovery in Permuted Monotone Matrix Model pp. 1358-1372

Rong Ma, T. Tony Cai and Hongzhe Li

Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models pp. 1373-1382

Jianwei Hu, Jingfei Zhang, Hong Qin, Ting Yan and Ji Zhu

Estimating the Covariance of Fragmented and Other Related Types of Functional Data pp. 1383-1401

Aurore Delaigle, Peter Hall, Wei Huang and Alois Kneip

Fast Calibrated Additive Quantile Regression pp. 1402-1412

Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec and Yannig Goude

Metropolized Knockoff Sampling pp. 1413-1427

Stephen Bates, Emmanuel Candès, Lucas Janson and Wenshuo Wang

Extreme and Inference for Tail Gini Functionals With Applications in Tail Risk Measurement pp. 1428-1443

Yanxi Hou and Xing Wang

Principal Component Analysis of Spatially Indexed Functions pp. 1444-1456

Thomas Kuenzer, Siegfried Hörmann and Piotr Kokoszka

Analogues on the Sphere of the Affine-Equivariant Spatial Median pp. 1457-1471

Janice L. Scealy and Andrew T. A. Wood

Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression pp. 1472-1486

Qiang Sun and Heping Zhang

Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models pp. 1487-1497

Masayo Y. Hirose and Partha Lahiri

Inference on Selected Subgroups in Clinical Trials pp. 1498-1506

Xinzhou Guo and Xuming He

Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits pp. 1507-1520

Xialiang Dou and Tengyuan Liang

Bayesian Factor Analysis for Inference on Interactions pp. 1521-1532

Federico Ferrari and David B. Dunson

Count Time Series: A Methodological Review pp. 1533-1547

Richard A. Davis, Konstantinos Fokianos, Scott H. Holan, Harry Joe, James Livsey, Robert Lund, Vladas Pipiras and Nalini Ravishanker

Thirty Years of The Network Scale-up Method pp. 1548-1559

Ian Laga, Le Bao and Xiaoyue Niu

Correction pp. 1560-1560

The Editors

Volume 116, issue 534, 2021

Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data pp. 457-470

Kevin Z. Lin, Jing Lei and Kathryn Roeder

Discussion of “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-seq Data” pp. 471-474

Zhicheng Ji and Hongkai Ji

Discussion of “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data” pp. 475-477

Jian Hu and Mingyao Li

Rejoinder for “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data” pp. 478-480

Kevin Z. Lin, Jing Lei and Kathryn Roeder

The Effects of Stringent and Mild Interventions for Coronavirus Pandemic pp. 481-491

Ting Tian, Jianbin Tan, Wenxiang Luo, Yukang Jiang, Minqiong Chen, Songpan Yang, Canhong Wen, Wenliang Pan and Xueqin Wang

The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases pp. 492-506

Francesca Tang, Yang Feng, Hamza Chiheb and Jianqing Fan

Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects pp. 507-517

Dean Eckles and Eytan Bakshy

Bayesian Joint Modeling of Multiple Brain Functional Networks pp. 518-530

Joshua Lukemire, Suprateek Kundu, Giuseppe Pagnoni and Ying Guo

Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration pp. 531-545

Yingda Jiang, Chi-Yang Chiu, Qi Yan, Wei Chen, Michael B. Gorin, Yvette P. Conley, M’Hamed Lajmi Lakhal-Chaieb, Richard J. Cook, Christopher I. Amos, Alexander F. Wilson, Joan E. Bailey-Wilson, Francis J. McMahon, Ana I. Vazquez, Ao Yuan, Xiaogang Zhong, Momiao Xiong, Daniel E. Weeks and Ruzong Fan

On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models pp. 546-557

Philip G. Sansom, David B. Stephenson and Thomas J. Bracegirdle

Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study pp. 558-568

Kiranmoy Das, Pulak Ghosh and Michael J. Daniels

Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies pp. 569-580

Kwonsang Lee, Dylan S. Small and Francesca Dominici

Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data pp. 581-593

Sharmistha Guha and Abel Rodriguez

Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records pp. 594-604

Yifei Sun, Charles E. McCulloch, Kieren A. Marr and Chiung-Yu Huang

Bayesian Structure Learning in Multilayered Genomic Networks pp. 605-618

Min Jin Ha, Francesco Claudio Stingo and Veerabhadran Baladandayuthapani

Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs pp. 619-631

Maxime Rischard, Zach Branson, Luke Miratrix and Luke Bornn

Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments pp. 632-644

Kosuke Imai, Zhichao Jiang and Anup Malani

Introduction to Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery Part II pp. 645-645

The Editors

More Efficient Policy Learning via Optimal Retargeting pp. 646-658

Nathan Kallus

Learning Optimal Distributionally Robust Individualized Treatment Rules pp. 659-674

Weibin Mo, Zhengling Qi and Yufeng Liu

Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning pp. 675-679

Stijn Vansteelandt and Oliver Dukes

Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning pp. 680-689

Sijia Li, Xiudi Li and Alex Luedtke

Discussion of Kallus (2020) and Mo et al. (2020) pp. 690-693

Muxuan Liang and Ying-Qi Zhao

Rejoinder: New Objectives for Policy Learning pp. 694-698

Nathan Kallus

Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules pp. 699-707

Weibin Mo, Zhengling Qi and Yufeng Liu

Statistical Inference for Online Decision Making via Stochastic Gradient Descent pp. 708-719

Haoyu Chen, Wenbin Lu and Rui Song

Inference for Multivariate Regression Model Based on Synthetic Data Generated Using Plug-in Sampling pp. 720-733

Ricardo Moura, Martin Klein, John Zylstra, Carlos A. Coelho and Bimal Sinha

Covariate Regularized Community Detection in Sparse Graphs pp. 734-745

Bowei Yan and Purnamrita Sarkar

Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach pp. 746-755

Cong Ma, Junwei Lu and Han Liu

Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models pp. 756-769

Jared S. Murray

Permutation Tests for Infection Graphs pp. 770-782

Justin Khim and Po-Ling Loh

Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data pp. 783-797

Paolo Frumento, Matteo Bottai and Ivan Fernandez-Val

Inference on a New Class of Sample Average Treatment Effects pp. 798-804

Jasjeet S. Sekhon and Yotam Shem-Tov

A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis pp. 805-818

Emily C. Hector and Peter X.-K. Song

Intrinsic Wavelet Regression for Curves of Hermitian Positive Definite Matrices pp. 819-832

Joris Chau and Rainer von Sachs

Auto-G-Computation of Causal Effects on a Network pp. 833-844

Eric J. Tchetgen Tchetgen, Isabel R. Fulcher and Ilya Shpitser

On the Length of Post-Model-Selection Confidence Intervals Conditional on Polyhedral Constraints pp. 845-857

Danijel Kivaranovic and Hannes Leeb

Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO pp. 858-873

Cheng Zhang, Vu Dinh and Frederick A. Matsen

Transformed Dynamic Quantile Regression on Censored Data pp. 874-886

Chi Wing Chu, Tony Sit and Gongjun Xu

Rare Feature Selection in High Dimensions pp. 887-900

Xiaohan Yan and Jacob Bien

Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks pp. 901-918

Laura Forastiere, Edoardo M. Airoldi and Fabrizia Mealli

Predictive Inference for Locally Stationary Time Series With an Application to Climate Data pp. 919-934

Srinjoy Das and Dimitris N. Politis

Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms pp. 935-954

Jordan Awan and Aleksandra Slavković

Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing pp. 955-968

Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki

Privacy-Preserving Parametric Inference: A Case for Robust Statistics pp. 969-983

Marco Avella-Medina

Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models pp. 984-998

Rong Ma, T. Tony Cai and Hongzhe Li

Grouped Heterogeneous Mixture Modeling for Clustered Data pp. 999-1010

Shonosuke Sugasawa

Regression Modeling for Size-and-Shape Data Based on a Gaussian Model for Landmarks pp. 1011-1022

Ian L. Dryden, Alfred Kume, Phillip J. Paine and Andrew T. A. Wood

Graphical Models for Processing Missing Data pp. 1023-1037

Karthika Mohan and Judea Pearl

Design of experiments for generalized linear models pp. 1038-1038

Youngjun Choe

Correction pp. 1039-1039

The Editors

Volume 116, issue 533, 2021

Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes pp. 1-13

Zhuo Wang, Yujing Jiang, Hui Wan, Jun Yan and Xuebin Zhang

Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data pp. 14-26

Seyoung Park, Hao Xu and Hongyu Zhao

Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data pp. 27-43

Souhaib Ben Taieb, James W. Taylor and Rob Hyndman

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level pp. 44-53

Giovanni Nattino, Bo Lu, Junxin Shi, Stanley Lemeshow and Henry Xiang

Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection pp. 54-67

Kevin Z. Lin, Han Liu and Kathryn Roeder

Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification pp. 68-81

Lucy Xia, Richard Zhao, Yanhui Wu and Xin Tong

Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools pp. 82-92

Bikram Karmakar, Dylan S. Small and Paul R. Rosenbaum

A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation pp. 93-106

Gregory P. Bopp, Benjamin A. Shaby and Raphaël Huser

Incorporating Animal Movement Into Distance Sampling pp. 107-115

R. Glennie, S. T. Buckland, R. Langrock, T. Gerrodette, L. T. Ballance, S. J. Chivers and M. D. Scott

Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models pp. 116-132

Decai Liang, Haozhe Zhang, Xiaohui Chang and Hui Huang

A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information pp. 133-143

Ting-Huei Chen, Nilanjan Chatterjee, Maria Teresa Landi and Jianxin Shi

A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information pp. 133-143

Ting-Huei Chen, Nilanjan Chatterjee, Maria Teresa Landi and Jianxin Shi

Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation pp. 144-158

Long Feng, Xuan Bi and Heping Zhang

Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery pp. 159-161

Michael R. Kosorok, Eric B. Laber, Dylan S. Small and Donglin Zeng

A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity pp. 162-173

Yifan Cui and Eric Tchetgen Tchetgen

A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity pp. 162-173

Yifan Cui and Eric Tchetgen Tchetgen

Optimal Individualized Decision Rules Using Instrumental Variable Methods pp. 174-191

Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, Maria Petukhova, Ronald C. Kessler and Alex Luedtke

Comment: Individualized Treatment Rules Under Endogeneity pp. 192-195

Sukjin Han

Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020) pp. 196-199

Bo Zhang and Hongming Pu

Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder pp. 200-206

Yifan Cui and Eric Tchetgen Tchetgen

Rejoinder: Optimal Individualized Decision Rules Using Instrumental Variable Methods pp. 207-209

Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, Maria Petukhova, Ronald C. Kessler and Alex Luedtke

A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes pp. 210-223

Jared D. Huling, Maureen A. Smith and Guanhua Chen

A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes pp. 210-223

Jared D. Huling, Maureen A. Smith and Guanhua Chen

Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption pp. 224-239

Lin Liu, Zach Shahn, James M. Robins and Andrea Rotnitzky

Statistical Inference for Online Decision Making: In a Contextual Bandit Setting pp. 240-255

Haoyu Chen, Wenbin Lu and Rui Song

Doubly Robust Estimation of Optimal Dosing Strategies pp. 256-268

Juliana Schulz and Erica E. M. Moodie

Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes pp. 269-282

Yuan Chen, Donglin Zeng and Yuanjia Wang

Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes pp. 269-282

Yuan Chen, Donglin Zeng and Yuanjia Wang

Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules pp. 283-294

Yinghao Pan and Ying-Qi Zhao

Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding pp. 295-308

Bo Zhang, Jordan Weiss, Dylan S. Small and Qingyuan Zhao

Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates pp. 309-321

Wenchuan Guo, Xiao-Hua Zhou and Shujie Ma

BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons pp. 322-334

Ruitao Lin, Peter F. Thall and Ying Yuan

BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons pp. 322-334

Ruitao Lin, Peter F. Thall and Ying Yuan

Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data pp. 335-352

Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune and Lu Tian

Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data pp. 335-352

Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune and Lu Tian

A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff pp. 353-367

Xinran Li and Xiao-Li Meng

A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff pp. 353-367

Xinran Li and Xiao-Li Meng

Robust Q-Learning pp. 368-381

Ashkan Ertefaie, James R. McKay, David Oslin and Robert L. Strawderman

Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health pp. 382-391

Peng Liao, Predrag Klasnja and Susan Murphy

Learning When-to-Treat Policies pp. 392-409

Xinkun Nie, Emma Brunskill and Stefan Wager

Learning When-to-Treat Policies pp. 392-409

Xinkun Nie, Emma Brunskill and Stefan Wager

Personalized Policy Learning Using Longitudinal Mobile Health Data pp. 410-420

Xinyu Hu, Min Qian, Bin Cheng and Ying Kuen Cheung

Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes pp. 421-432

Yilun Sun and Lu Wang

Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes pp. 421-432

Yilun Sun and Lu Wang

Stochastic Gradient Markov Chain Monte Carlo pp. 433-450

Christopher Nemeth and Paul Fearnhead

Handbook of Spatial Epidemiology pp. 451-453

The Editors

Handbook of Environmental and Ecological Statistics pp. 453-455

Grace S. Chiu