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Journal of the American Statistical Association

2008 - 2022

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 117, issue 537, 2022

On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies pp. 1-11 Downloads
Bingxin Zhao and Hongtu Zhu
Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression pp. 12-26 Downloads
Adam Ciarleglio, Eva Petkova and Ofer Harel
Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi pp. 27-37 Downloads
Ian Laga, Xiaoyue Niu and Le Bao
Prioritizing Autism Risk Genes Using Personalized Graphical Models Estimated From Single-Cell RNA-seq Data pp. 38-51 Downloads
Jianyu Liu, Haodong Wang, Wei Sun and Yufeng Liu
Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation pp. 52-66 Downloads
Bei Jiang, Adrian E. Raftery, Russell J. Steele and Naisyin Wang
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies pp. 67-81 Downloads
Zhonghua Liu, Jincheng Shen, Richard Barfield, Joel Schwartz, Andrea A. Baccarelli and Xihong Lin
Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities pp. 82-93 Downloads
Masako Ikefuji, Roger Laeven, Jan R. Magnus and Yuan Yue
Factor Models for High-Dimensional Tensor Time Series pp. 94-116 Downloads
Rong Chen, Dan Yang and Cun-Hui Zhang
Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang pp. 117-117 Downloads
Oliver Linton and Haihan Tang
Comment on “Factor Models for High-Dimensional Tensor Time Series” pp. 118-123 Downloads
Daniel Peña
Comments on “Factor Models for High-Dimensional Tensor Time Series” pp. 124-127 Downloads
Jialin Ouyang and Ming Yuan
Rejoinder pp. 128-132 Downloads
Rong Chen, Dan Yang and Cun-Hui Zhang
Spectral Inference under Complex Temporal Dynamics pp. 133-155 Downloads
Jun Yang and Zhou Zhou
Testing for Balance in Social Networks pp. 156-174 Downloads
Derek Feng, Randolf Altmeyer, Derek Stafford, Nicholas A. Christakis and Harrison H. Zhou
Separable Effects for Causal Inference in the Presence of Competing Events pp. 175-183 Downloads
Mats J. Stensrud, Jessica G. Young, Vanessa Didelez, James M. Robins and Miguel A. Hernán
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models pp. 184-197 Downloads
Ray Bai, Gemma E. Moran, Joseph L. Antonelli, Yong Chen and Mary R. Boland
A Multiple-Testing Procedure for High-Dimensional Mediation Hypotheses pp. 198-213 Downloads
James Y. Dai, Janet L. Stanford and Michael LeBlanc
“Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality pp. 214-224 Downloads
David Allen and Michael McAleer
Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data pp. 225-236 Downloads
Chris McKennan and Dan Nicolae
Smoothing Spline Semiparametric Density Models pp. 237-250 Downloads
Jiahui Yu, Jian Shi, Anna Liu and Yuedong Wang
Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models pp. 251-264 Downloads
Abolfazl Safikhani and Ali Shojaie
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data pp. 265-276 Downloads
Jun Yu, HaiYing Wang, Mingyao Ai and Huiming Zhang
A Mode-Jumping Algorithm for Bayesian Factor Analysis pp. 277-290 Downloads
Albert Xingyi Man and Steven Andrew Culpepper
Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields pp. 291-306 Downloads
Sooin Yun, Xianyang Zhang and Bo Li
Embedding Learning pp. 307-319 Downloads
Ben Dai, Xiaotong Shen and Junhui Wang
Regularized Optimal Transport of Covariates and Outcomes in Data Recoding pp. 320-333 Downloads
Valérie Garès and Jérémy Omer
An Empirical Bayes Method for Chi-Squared Data pp. 334-347 Downloads
Lilun Du and Inchi Hu
Mean and Covariance Estimation for Functional Snippets pp. 348-360 Downloads
Zhenhua Lin and Jane-Ling Wang
Estimation of Subgraph Densities in Noisy Networks pp. 361-374 Downloads
Jinyuan Chang, Eric D. Kolaczyk and Qiwei Yao
On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments pp. 375-385 Downloads
Yaping Wang, Fasheng Sun and Hongquan Xu
Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal pp. 386-394 Downloads
Tung-Yu Wu, Y. X. Rachel Wang and Wing H. Wong
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs pp. 395-410 Downloads
Hongjian Shi, Mathias Drton and Fang Han
Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing pp. 411-427 Downloads
Xianyang Zhang and Jun Chen
Model-Free Feature Screening and FDR Control With Knockoff Features pp. 428-443 Downloads
Wanjun Liu, Yuan Ke, Jingyuan Liu and Runze Li
Estimating a Change Point in a Sequence of Very High-Dimensional Covariance Matrices pp. 444-454 Downloads
Holger Dette, Guangming Pan and Qing Yang
Irrational Exuberance: Correcting Bias in Probability Estimates pp. 455-468 Downloads
Gareth M. James, Peter Radchenko and Bradley Rava
Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error pp. 469-481 Downloads
Félix Camirand Lemyre, Raymond J. Carroll and Aurore Delaigle
Restricted Spatial Regression Methods: Implications for Inference pp. 482-494 Downloads
Kori Khan and Catherine A. Calder
AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories pp. 495-509 Downloads
Jialiang Li, Jing Lv, Alan T. K. Wan and Jun Liao
Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks pp. 510-526 Downloads
Fan Bu, Allison E. Aiello, Jason Xu and Alexander Volfovsky
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine pp. 527-527 Downloads
Ying-Qi Zhao
An Introduction to Acceptance Sampling and SPC with R pp. 528-528 Downloads
Youngjun Choe
From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Correction pp. 529-529 Downloads
The Editors
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model pp. 530-530 Downloads
The Editors

Volume 116, issue 536, 2021

Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data pp. 1561-1577 Downloads
Corbin Quick, Rounak Dey and Xihong Lin
Statistical Models for COVID-19 Incidence, Cumulative Prevalence, and R t pp. 1578-1582 Downloads
Nicholas P. Jewell
Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data” pp. 1583-1586 Downloads
Jyotishka Datta and Bhramar Mukherjee
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data” pp. 1587-1590 Downloads
Natalie Dean and Yang Yang
Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data pp. 1591-1594 Downloads
Corbin Quick, Rounak Dey and Xihong Lin
IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses pp. 1595-1608 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
DongHyuk Lee and Bin Zhu
Forecasting Unemployment Using Internet Search Data via PRISM pp. 1662-1673 Downloads
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 Downloads
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 Downloads
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 Downloads
Jincheng Zhou, James S. Hodges and Haitao Chu
Introduction to the Special Section on Synthetic Control Methods pp. 1713-1715 Downloads
Alberto Abadie and Matias Cattaneo
Matrix Completion Methods for Causal Panel Data Models pp. 1716-1730 Downloads
Susan Athey, Mohsen Bayati, Nikolay Doudchenko, Guido Imbens and Khashayar Khosravi
On Robustness of Principal Component Regression pp. 1731-1745 Downloads
Anish Agarwal, Devavrat Shah, Dennis Shen and Dogyoon Song
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data pp. 1746-1763 Downloads
Jushan Bai and Serena Ng
On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls pp. 1764-1772 Downloads
Bruno Ferman
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity pp. 1773-1788 Downloads
Ricardo Masini and Marcelo C. Medeiros
The Augmented Synthetic Control Method pp. 1789-1803 Downloads
Eli Ben-Michael, Avi Feller and Jesse Rothstein
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation pp. 1804-1816 Downloads
Maxwell Kellogg, Magne Mogstad, Guillaume A. Pouliot and Alexander Torgovitsky
A Penalized Synthetic Control Estimator for Disaggregated Data pp. 1817-1834 Downloads
Alberto Abadie and Jérémy L’Hour
Randomization Tests in Observational Studies With Staggered Adoption of Treatment pp. 1835-1848 Downloads
Azeem Shaikh and Panos Toulis
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls pp. 1849-1864 Downloads
Victor Chernozhukov, Kaspar Wüthrich and Yinchu Zhu
Prediction Intervals for Synthetic Control Methods pp. 1865-1880 Downloads
Matias Cattaneo, Yingjie Feng and Rocio Titiunik
Depth for Curve Data and Applications pp. 1881-1897 Downloads
Pierre Lafaye de Micheaux, Pavlo Mozharovskyi and Myriam Vimond
Randomization Tests for Weak Null Hypotheses in Randomized Experiments pp. 1898-1913 Downloads
Jason Wu and Peng Ding
Integrating Multisource Block-Wise Missing Data in Model Selection pp. 1914-1927 Downloads
Fei Xue and Annie Qu
Estimating Mixed Memberships With Sharp Eigenvector Deviations pp. 1928-1940 Downloads
Xueyu Mao, Purnamrita Sarkar and Deepayan Chakrabarti
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs pp. 1941-1952 Downloads
Matias Cattaneo, Luke Keele, Rocío Titiunik and Gonzalo Vazquez-Bare
Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation pp. 1953-1964 Downloads
Xu Shi, Xiaoou Li and Tianxi Cai
Bayesian Projected Calibration of Computer Models pp. 1965-1982 Downloads
Fangzheng Xie and Yanxun Xu
Smooth Backfitting of Proportional Hazards With Multiplicative Components pp. 1983-1993 Downloads
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 Downloads
Xinyi Li, Li Wang and Huixia Judy Wang
A New Coefficient of Correlation pp. 2009-2022 Downloads
Sourav Chatterjee
Modeling Network Populations via Graph Distances pp. 2023-2040 Downloads
Simón Lunagómez, Sofia C. Olhede and Patrick J. Wolfe
Efficiently Backtesting Conditional Value-at-Risk and Conditional Expected Shortfall pp. 2041-2052 Downloads
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 Downloads
Guillaume Gerber, Yohann Le Faou, Olivier Lopez and Michael Trupin
Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models pp. 2065-2086 Downloads
Alan Julian Izenman
What are the Most Important Statistical Ideas of the Past 50 Years? pp. 2087-2097 Downloads
Andrew Gelman and Aki Vehtari
Advanced Survival Models pp. 2098-2099 Downloads
Sangwook Kang
Correction pp. 2100-2100 Downloads
The Editors

Volume 116, issue 535, 2021

Back to Our Future: Text Analytics Insights pp. 1039-1047 Downloads
Wendy L. Martinez
Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts pp. 1048-1059 Downloads
Claudio Heinrich, Kristoffer H. Hellton, Alex Lenkoski and Thordis L. Thorarinsdottir
Network Dependence Can Lead to Spurious Associations and Invalid Inference pp. 1060-1074 Downloads
Youjin Lee and Elizabeth L. Ogburn
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology pp. 1075-1087 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Rachel C. Nethery, Fabrizia Mealli, Jason D. Sacks and Francesca Dominici
High-Dimensional Precision Medicine From Patient-Derived Xenografts pp. 1140-1154 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Glenn Shafer
Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1198-1200 Downloads
Jonathan P Williams
Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1201-1203 Downloads
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 Downloads
Fabrizio Ruggeri
Comments on “A Gibbs Sampler for a Class of Random Convex Polytopes” pp. 1206-1210 Downloads
Kentaro Hoffman, Jan Hannig and Kai Zhang
Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes pp. 1211-1214 Downloads
Pierre E. Jacob, Ruobin Gong, Paul T. Edlefsen and Arthur P. Dempster
Scalable Collaborative Ranking for Personalized Prediction pp. 1215-1223 Downloads
Ben Dai, Xiaotong Shen, Junhui Wang and Annie Qu
ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion pp. 1224-1236 Downloads
Yixuan Qiu and Xiao Wang
Optimal Estimation of Wasserstein Distance on a Tree With an Application to Microbiome Studies pp. 1237-1253 Downloads
Shulei Wang, T. Tony Cai and Hongzhe Li
Complier Stochastic Direct Effects: Identification and Robust Estimation pp. 1254-1264 Downloads
Kara E. Rudolph, Oleg Sofrygin and Mark J. van der Laan
Trends in Extreme Value Indices pp. 1265-1279 Downloads
Laurens de Haan and Chen Zhou
Individualized Multidirectional Variable Selection pp. 1280-1296 Downloads
Xiwei Tang, Fei Xue and Annie Qu
Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists pp. 1297-1306 Downloads
Lax Chan, Bernard W. Silverman and Kyle Vincent
Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation pp. 1307-1318 Downloads
Chengchun Shi, Rui Song, Wenbin Lu and Runze Li
Semiparametric Inference for the Functional Cox Model pp. 1319-1329 Downloads
Meiling Hao, Kin-yat Liu, Wei Xu and Xingqiu Zhao
Regression Models and Multivariate Life Tables pp. 1330-1345 Downloads
Ross L. Prentice and Shanshan Zhao
Nonparametric Estimation of Conditional Expectation with Auxiliary Information and Dimension Reduction pp. 1346-1357 Downloads
Bingying Xie and Jun Shao
Optimal Permutation Recovery in Permuted Monotone Matrix Model pp. 1358-1372 Downloads
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 Downloads
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 Downloads
Aurore Delaigle, Peter Hall, Wei Huang and Alois Kneip
Fast Calibrated Additive Quantile Regression pp. 1402-1412 Downloads
Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec and Yannig Goude
Metropolized Knockoff Sampling pp. 1413-1427 Downloads
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 Downloads
Yanxi Hou and Xing Wang
Principal Component Analysis of Spatially Indexed Functions pp. 1444-1456 Downloads
Thomas Kuenzer, Siegfried Hörmann and Piotr Kokoszka
Analogues on the Sphere of the Affine-Equivariant Spatial Median pp. 1457-1471 Downloads
Janice L. Scealy and Andrew T. A. Wood
Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression pp. 1472-1486 Downloads
Qiang Sun and Heping Zhang
Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models pp. 1487-1497 Downloads
Masayo Y. Hirose and Partha Lahiri
Inference on Selected Subgroups in Clinical Trials pp. 1498-1506 Downloads
Xinzhou Guo and Xuming He
Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits pp. 1507-1520 Downloads
Xialiang Dou and Tengyuan Liang
Bayesian Factor Analysis for Inference on Interactions pp. 1521-1532 Downloads
Federico Ferrari and David B. Dunson
Count Time Series: A Methodological Review pp. 1533-1547 Downloads
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 Downloads
Ian Laga, Le Bao and Xiaoyue Niu
Correction pp. 1560-1560 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Kevin Z. Lin, Jing Lei and Kathryn Roeder
The Effects of Stringent and Mild Interventions for Coronavirus Pandemic pp. 481-491 Downloads
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 Downloads
Francesca Tang, Yang Feng, Hamza Chiheb and Jianqing Fan
Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects pp. 507-517 Downloads
Dean Eckles and Eytan Bakshy
Bayesian Joint Modeling of Multiple Brain Functional Networks pp. 518-530 Downloads
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 Downloads
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 Downloads
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 Downloads
Kiranmoy Das, Pulak Ghosh and Michael J. Daniels
Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies pp. 569-580 Downloads
Kwonsang Lee, Dylan S. Small and Francesca Dominici
Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data pp. 581-593 Downloads
Sharmistha Guha and Abel Rodriguez
Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records pp. 594-604 Downloads
Yifei Sun, Charles E. McCulloch, Kieren A. Marr and Chiung-Yu Huang
Bayesian Structure Learning in Multilayered Genomic Networks pp. 605-618 Downloads
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 Downloads
Maxime Rischard, Zach Branson, Luke Miratrix and Luke Bornn
Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments pp. 632-644 Downloads
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 Downloads
The Editors
More Efficient Policy Learning via Optimal Retargeting pp. 646-658 Downloads
Nathan Kallus
Learning Optimal Distributionally Robust Individualized Treatment Rules pp. 659-674 Downloads
Weibin Mo, Zhengling Qi and Yufeng Liu
Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning pp. 675-679 Downloads
Stijn Vansteelandt and Oliver Dukes
Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning pp. 680-689 Downloads
Sijia Li, Xiudi Li and Alex Luedtke
Discussion of Kallus (2020) and Mo et al. (2020) pp. 690-693 Downloads
Muxuan Liang and Ying-Qi Zhao
Rejoinder: New Objectives for Policy Learning pp. 694-698 Downloads
Nathan Kallus
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules pp. 699-707 Downloads
Weibin Mo, Zhengling Qi and Yufeng Liu
Statistical Inference for Online Decision Making via Stochastic Gradient Descent pp. 708-719 Downloads
Haoyu Chen, Wenbin Lu and Rui Song
Inference for Multivariate Regression Model Based on Synthetic Data Generated Using Plug-in Sampling pp. 720-733 Downloads
Ricardo Moura, Martin Klein, John Zylstra, Carlos A. Coelho and Bimal Sinha
Covariate Regularized Community Detection in Sparse Graphs pp. 734-745 Downloads
Bowei Yan and Purnamrita Sarkar
Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach pp. 746-755 Downloads
Cong Ma, Junwei Lu and Han Liu
Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models pp. 756-769 Downloads
Jared S. Murray
Permutation Tests for Infection Graphs pp. 770-782 Downloads
Justin Khim and Po-Ling Loh
Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data pp. 783-797 Downloads
Paolo Frumento, Matteo Bottai and Ivan Fernandez-Val
Inference on a New Class of Sample Average Treatment Effects pp. 798-804 Downloads
Jasjeet S. Sekhon and Yotam Shem-Tov
A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis pp. 805-818 Downloads
Emily C. Hector and Peter X.-K. Song
Intrinsic Wavelet Regression for Curves of Hermitian Positive Definite Matrices pp. 819-832 Downloads
Joris Chau and Rainer von Sachs
Auto-G-Computation of Causal Effects on a Network pp. 833-844 Downloads
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 Downloads
Danijel Kivaranovic and Hannes Leeb
Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO pp. 858-873 Downloads
Cheng Zhang, Vu Dinh and Frederick A. Matsen
Transformed Dynamic Quantile Regression on Censored Data pp. 874-886 Downloads
Chi Wing Chu, Tony Sit and Gongjun Xu
Rare Feature Selection in High Dimensions pp. 887-900 Downloads
Xiaohan Yan and Jacob Bien
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks pp. 901-918 Downloads
Laura Forastiere, Edoardo M. Airoldi and Fabrizia Mealli
Predictive Inference for Locally Stationary Time Series With an Application to Climate Data pp. 919-934 Downloads
Srinjoy Das and Dimitris N. Politis
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms pp. 935-954 Downloads
Jordan Awan and Aleksandra Slavković
Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing pp. 955-968 Downloads
Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki
Privacy-Preserving Parametric Inference: A Case for Robust Statistics pp. 969-983 Downloads
Marco Avella-Medina
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models pp. 984-998 Downloads
Rong Ma, T. Tony Cai and Hongzhe Li
Grouped Heterogeneous Mixture Modeling for Clustered Data pp. 999-1010 Downloads
Shonosuke Sugasawa
Regression Modeling for Size-and-Shape Data Based on a Gaussian Model for Landmarks pp. 1011-1022 Downloads
Ian L. Dryden, Alfred Kume, Phillip J. Paine and Andrew T. A. Wood
Graphical Models for Processing Missing Data pp. 1023-1037 Downloads
Karthika Mohan and Judea Pearl
Design of experiments for generalized linear models pp. 1038-1038 Downloads
Youngjun Choe
Correction pp. 1039-1039 Downloads
The Editors

Volume 116, issue 533, 2021

Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes pp. 1-13 Downloads
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 Downloads
Seyoung Park, Hao Xu and Hongyu Zhao
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data pp. 27-43 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Bikram Karmakar, Dylan S. Small and Paul R. Rosenbaum
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation pp. 93-106 Downloads
Gregory P. Bopp, Benjamin A. Shaby and Raphaël Huser
Incorporating Animal Movement Into Distance Sampling pp. 107-115 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Yifan Cui and Eric Tchetgen Tchetgen
A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity pp. 162-173 Downloads
Yifan Cui and Eric Tchetgen Tchetgen
Optimal Individualized Decision Rules Using Instrumental Variable Methods pp. 174-191 Downloads
Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, Maria Petukhova, Ronald C. Kessler and Alex Luedtke
Comment: Individualized Treatment Rules Under Endogeneity pp. 192-195 Downloads
Sukjin Han
Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020) pp. 196-199 Downloads
Bo Zhang and Hongming Pu
Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder pp. 200-206 Downloads
Yifan Cui and Eric Tchetgen Tchetgen
Rejoinder: Optimal Individualized Decision Rules Using Instrumental Variable Methods pp. 207-209 Downloads
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 Downloads
Jared D. Huling, Maureen A. Smith and Guanhua Chen
A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes pp. 210-223 Downloads
Jared D. Huling, Maureen A. Smith and Guanhua Chen
Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption pp. 224-239 Downloads
Lin Liu, Zach Shahn, James M. Robins and Andrea Rotnitzky
Statistical Inference for Online Decision Making: In a Contextual Bandit Setting pp. 240-255 Downloads
Haoyu Chen, Wenbin Lu and Rui Song
Doubly Robust Estimation of Optimal Dosing Strategies pp. 256-268 Downloads
Juliana Schulz and Erica E. M. Moodie
Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes pp. 269-282 Downloads
Yuan Chen, Donglin Zeng and Yuanjia Wang
Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes pp. 269-282 Downloads
Yuan Chen, Donglin Zeng and Yuanjia Wang
Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules pp. 283-294 Downloads
Yinghao Pan and Ying-Qi Zhao
Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding pp. 295-308 Downloads
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 Downloads
Wenchuan Guo, Xiao-Hua Zhou and Shujie Ma
BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons pp. 322-334 Downloads
Ruitao Lin, Peter F. Thall and Ying Yuan
BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons pp. 322-334 Downloads
Ruitao Lin, Peter F. Thall and Ying Yuan
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data pp. 335-352 Downloads
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 Downloads
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 Downloads
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 Downloads
Xinran Li and Xiao-Li Meng
Robust Q-Learning pp. 368-381 Downloads
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 Downloads
Peng Liao, Predrag Klasnja and Susan Murphy
Learning When-to-Treat Policies pp. 392-409 Downloads
Xinkun Nie, Emma Brunskill and Stefan Wager
Learning When-to-Treat Policies pp. 392-409 Downloads
Xinkun Nie, Emma Brunskill and Stefan Wager
Personalized Policy Learning Using Longitudinal Mobile Health Data pp. 410-420 Downloads
Xinyu Hu, Min Qian, Bin Cheng and Ying Kuen Cheung
Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes pp. 421-432 Downloads
Yilun Sun and Lu Wang
Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes pp. 421-432 Downloads
Yilun Sun and Lu Wang
Stochastic Gradient Markov Chain Monte Carlo pp. 433-450 Downloads
Christopher Nemeth and Paul Fearnhead
Handbook of Spatial Epidemiology pp. 451-453 Downloads
The Editors
Handbook of Environmental and Ecological Statistics pp. 453-455 Downloads
Grace S. Chiu
Page updated 2022-05-26