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Content
January 2022, Volume 117, Issue 537
- 1-11 On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies
by Bingxin Zhao & Hongtu Zhu - 12-26 Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression
by Adam Ciarleglio & Eva Petkova & Ofer Harel - 27-37 Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi
by Ian Laga & Xiaoyue Niu & Le Bao - 38-51 Prioritizing Autism Risk Genes Using Personalized Graphical Models Estimated From Single-Cell RNA-seq Data
by Jianyu Liu & Haodong Wang & Wei Sun & Yufeng Liu - 67-81 Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies
by Zhonghua Liu & Jincheng Shen & Richard Barfield & Joel Schwartz & Andrea A. Baccarelli & Xihong Lin - 82-93 Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities
by Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Yuan Yue - 94-116 Factor Models for High-Dimensional Tensor Time Series
by Rong Chen & Dan Yang & Cun-Hui Zhang - 117-117 Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang
by Oliver B. Linton & Haihan Tang - 118-123 Comment on “Factor Models for High-Dimensional Tensor Time Series”
by Daniel Peña - 124-127 Comments on “Factor Models for High-Dimensional Tensor Time Series”
by Jialin Ouyang & Ming Yuan - 128-132 Rejoinder
by Rong Chen & Dan Yang & Cun-Hui Zhang - 133-155 Spectral Inference under Complex Temporal Dynamics
by Jun Yang & Zhou Zhou - 156-174 Testing for Balance in Social Networks
by Derek Feng & Randolf Altmeyer & Derek Stafford & Nicholas A. Christakis & Harrison H. Zhou - 175-183 Separable Effects for Causal Inference in the Presence of Competing Events
by Mats J. Stensrud & Jessica G. Young & Vanessa Didelez & James M. Robins & Miguel A. Hernán - 184-197 Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
by Ray Bai & Gemma E. Moran & Joseph L. Antonelli & Yong Chen & Mary R. Boland - 198-213 A Multiple-Testing Procedure for High-Dimensional Mediation Hypotheses
by James Y. Dai & Janet L. Stanford & Michael LeBlanc - 214-224 “Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality
by David E. Allen & Michael McAleer - 225-236 Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data
by Chris McKennan & Dan Nicolae - 237-250 Smoothing Spline Semiparametric Density Models
by Jiahui Yu & Jian Shi & Anna Liu & Yuedong Wang - 251-264 Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models
by Abolfazl Safikhani & Ali Shojaie - 265-276 Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data
by Jun Yu & HaiYing Wang & Mingyao Ai & Huiming Zhang - 277-290 A Mode-Jumping Algorithm for Bayesian Factor Analysis
by Albert Xingyi Man & Steven Andrew Culpepper - 291-306 Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields
by Sooin Yun & Xianyang Zhang & Bo Li - 307-319 Embedding Learning
by Ben Dai & Xiaotong Shen & Junhui Wang - 320-333 Regularized Optimal Transport of Covariates and Outcomes in Data Recoding
by Valérie Garès & Jérémy Omer - 334-347 An Empirical Bayes Method for Chi-Squared Data
by Lilun Du & Inchi Hu - 348-360 Mean and Covariance Estimation for Functional Snippets
by Zhenhua Lin & Jane-Ling Wang - 361-374 Estimation of Subgraph Densities in Noisy Networks
by Jinyuan Chang & Eric D. Kolaczyk & Qiwei Yao - 375-385 On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments
by Yaping Wang & Fasheng Sun & Hongquan Xu - 386-394 Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal
by Tung-Yu Wu & Y. X. Rachel Wang & Wing H. Wong - 395-410 Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs
by Hongjian Shi & Mathias Drton & Fang Han - 411-427 Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing
by Xianyang Zhang & Jun Chen - 428-443 Model-Free Feature Screening and FDR Control With Knockoff Features
by Wanjun Liu & Yuan Ke & Jingyuan Liu & Runze Li - 444-454 Estimating a Change Point in a Sequence of Very High-Dimensional Covariance Matrices
by Holger Dette & Guangming Pan & Qing Yang - 455-468 Irrational Exuberance: Correcting Bias in Probability Estimates
by Gareth M. James & Peter Radchenko & Bradley Rava - 469-481 Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error
by Félix Camirand Lemyre & Raymond J. Carroll & Aurore Delaigle - 482-494 Restricted Spatial Regression Methods: Implications for Inference
by Kori Khan & Catherine A. Calder - 495-509 AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories
by Jialiang Li & Jing Lv & Alan T. K. Wan & Jun Liao - 510-526 Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
by Fan Bu & Allison E. Aiello & Jason Xu & Alexander Volfovsky - 527-527 Dynamic Treatment Regimes: Statistical Methods for Precision Medicine
by Ying-Qi Zhao - 528-528 An Introduction to Acceptance Sampling and SPC with R
by Youngjun Choe - 529-529 From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Correction
by The Editors - 530-530 Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model
by The Editors
May 2021, Volume 117, Issue 537
- 52-66 Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation
by Bei Jiang & Adrian E. Raftery & Russell J. Steele & Naisyin Wang
October 2021, Volume 116, Issue 536
- 1561-1577 Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
by Corbin Quick & Rounak Dey & Xihong Lin - 1578-1582 Statistical Models for COVID-19 Incidence, Cumulative Prevalence, and R t
by Nicholas P. Jewell - 1583-1586 Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”
by Jyotishka Datta & Bhramar Mukherjee - 1587-1590 Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”
by Natalie Dean & Yang Yang - 1591-1594 Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
by Corbin Quick & Rounak Dey & Xihong Lin - 1595-1608 IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses
by 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 & Hongzhe Li - 1609-1624 Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization
by Yutong Li & Ruoqing Zhu & Annie Qu & Han Ye & Zhankun Sun - 1625-1636 Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes
by Colin B. Fogarty & Kwonsang Lee & Rachel R. Kelz & Luke J. Keele - 1637-1647 A Bayesian State-Space Approach to Mapping Directional Brain Networks
by Huazhang Li & Yaotian Wang & Guofen Yan & Yinge Sun & Seiji Tanabe & Chang-Chia Liu & Mark S. Quigg & Tingting Zhang - 1648-1661 A Semiparametric Kernel Independence Test With Application to Mutational Signatures
by DongHyuk Lee & Bin Zhu - 1662-1673 Forecasting Unemployment Using Internet Search Data via PRISM
by Dingdong Yi & Shaoyang Ning & Chia-Jung Chang & S. C. Kou - 1674-1687 Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates
by Junhyung Park & Frederic Paik Schoenberg & Andrea L. Bertozzi & P. Jeffrey Brantingham - 1688-1699 Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms
by Fan Zhou & Shikai Luo & Xiaohu Qie & Jieping Ye & Hongtu Zhu - 1700-1712 A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section
by Jincheng Zhou & James S. Hodges & Haitao Chu - 1713-1715 Introduction to the Special Section on Synthetic Control Methods
by Alberto Abadie & Matias D. Cattaneo - 1716-1730 Matrix Completion Methods for Causal Panel Data Models
by Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi - 1731-1745 On Robustness of Principal Component Regression
by Anish Agarwal & Devavrat Shah & Dennis Shen & Dogyoon Song - 1746-1763 Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data
by Jushan Bai & Serena Ng - 1764-1772 On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls
by Bruno Ferman - 1773-1788 Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity
by Ricardo Masini & Marcelo C. Medeiros - 1789-1803 The Augmented Synthetic Control Method
by Eli Ben-Michael & Avi Feller & Jesse Rothstein - 1804-1816 Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation
by Maxwell Kellogg & Magne Mogstad & Guillaume A. Pouliot & Alexander Torgovitsky - 1817-1834 A Penalized Synthetic Control Estimator for Disaggregated Data
by Alberto Abadie & Jérémy L’Hour - 1835-1848 Randomization Tests in Observational Studies With Staggered Adoption of Treatment
by Azeem M. Shaikh & Panos Toulis - 1849-1864 An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls
by Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu - 1865-1880 Prediction Intervals for Synthetic Control Methods
by Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik - 1881-1897 Depth for Curve Data and Applications
by Pierre Lafaye de Micheaux & Pavlo Mozharovskyi & Myriam Vimond - 1898-1913 Randomization Tests for Weak Null Hypotheses in Randomized Experiments
by Jason Wu & Peng Ding - 1914-1927 Integrating Multisource Block-Wise Missing Data in Model Selection
by Fei Xue & Annie Qu - 1928-1940 Estimating Mixed Memberships With Sharp Eigenvector Deviations
by Xueyu Mao & Purnamrita Sarkar & Deepayan Chakrabarti - 1941-1952 Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
by Matias D. Cattaneo & Luke Keele & Rocío Titiunik & Gonzalo Vazquez-Bare - 1953-1964 Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation
by Xu Shi & Xiaoou Li & Tianxi Cai - 1965-1982 Bayesian Projected Calibration of Computer Models
by Fangzheng Xie & Yanxun Xu - 1983-1993 Smooth Backfitting of Proportional Hazards With Multiplicative Components
by Munir Hiabu & Enno Mammen & M. Dolores Martínez-Miranda & Jens P. Nielsen - 1994-2008 Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression
by Xinyi Li & Li Wang & Huixia Judy Wang - 2009-2022 A New Coefficient of Correlation
by Sourav Chatterjee - 2023-2040 Modeling Network Populations via Graph Distances
by Simón Lunagómez & Sofia C. Olhede & Patrick J. Wolfe - 2041-2052 Efficiently Backtesting Conditional Value-at-Risk and Conditional Expected Shortfall
by Qihui Su & Zhongling Qin & Liang Peng & Gengsheng Qin - 2053-2064 The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms
by Guillaume Gerber & Yohann Le Faou & Olivier Lopez & Michael Trupin - 2065-2086 Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models
by Alan Julian Izenman - 2087-2097 What are the Most Important Statistical Ideas of the Past 50 Years?
by Andrew Gelman & Aki Vehtari - 2098-2099 Advanced Survival Models
by Sangwook Kang - 2100-2100 Correction
by The Editors
July 2021, Volume 116, Issue 535
- 1039-1047 Back to Our Future: Text Analytics Insights
by Wendy L. Martinez - 1048-1059 Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts
by Claudio Heinrich & Kristoffer H. Hellton & Alex Lenkoski & Thordis L. Thorarinsdottir - 1060-1074 Network Dependence Can Lead to Spurious Associations and Invalid Inference
by Youjin Lee & Elizabeth L. Ogburn - 1075-1087 Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
by Abhra Sarkar & Debdeep Pati & Bani K. Mallick & Raymond J. Carroll - 1088-1099 Nonparametric Estimation of Galaxy Cluster Emissivity and Detection of Point Sources in Astrophysics With Two Lasso Penalties
by Jairo Diaz-Rodriguez & Dominique Eckert & Hatef Monajemi & Stéphane Paltani & Sylvain Sardy - 1100-1113 Evaluating Proxy Influence in Assimilated Paleoclimate Reconstructions—Testing the Exchangeability of Two Ensembles of Spatial Processes
by Trevor Harris & Bo Li & Nathan J. Steiger & Jason E. Smerdon & Naveen Narisetty & J. Derek Tucker - 1114-1127 Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
by Giorgio Paulon & Fernando Llanos & Bharath Chandrasekaran & Abhra Sarkar - 1128-1139 Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning
by Rachel C. Nethery & Fabrizia Mealli & Jason D. Sacks & Francesca Dominici - 1155-1167 Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data
by Malka Gorfine & Nir Keret & Asaf Ben Arie & David Zucker & Li Hsu - 1168-1180 Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations
by Md Kamrul Hasan Khan & Avishek Chakraborty & Giovanni Petris & Barry T. Wilson - 1181-1192 A Gibbs Sampler for a Class of Random Convex Polytopes
by Pierre E. Jacob & Ruobin Gong & Paul T. Edlefsen & Arthur P. Dempster - 1193-1195 Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes”
by Persi Diaconis & Guanyang Wang - 1196-1197 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
by Glenn Shafer - 1198-1200 Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes”
by Jonathan P Williams - 1201-1203 Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes”
by Earl Lawrence & Scott Vander Wiel - 1204-1205 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
by Fabrizio Ruggeri - 1206-1210 Comments on “A Gibbs Sampler for a Class of Random Convex Polytopes”
by Kentaro Hoffman & Jan Hannig & Kai Zhang - 1211-1214 Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes
by Pierre E. Jacob & Ruobin Gong & Paul T. Edlefsen & Arthur P. Dempster - 1215-1223 Scalable Collaborative Ranking for Personalized Prediction
by Ben Dai & Xiaotong Shen & Junhui Wang & Annie Qu - 1224-1236 ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion
by Yixuan Qiu & Xiao Wang - 1237-1253 Optimal Estimation of Wasserstein Distance on a Tree With an Application to Microbiome Studies
by Shulei Wang & T. Tony Cai & Hongzhe Li - 1254-1264 Complier Stochastic Direct Effects: Identification and Robust Estimation
by Kara E. Rudolph & Oleg Sofrygin & Mark J. van der Laan - 1265-1279 Trends in Extreme Value Indices
by Laurens de Haan & Chen Zhou - 1280-1296 Individualized Multidirectional Variable Selection
by Xiwei Tang & Fei Xue & Annie Qu - 1297-1306 Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists
by Lax Chan & Bernard W. Silverman & Kyle Vincent - 1307-1318 Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation
by Chengchun Shi & Rui Song & Wenbin Lu & Runze Li - 1319-1329 Semiparametric Inference for the Functional Cox Model
by Meiling Hao & Kin-yat Liu & Wei Xu & Xingqiu Zhao - 1330-1345 Regression Models and Multivariate Life Tables
by Ross L. Prentice & Shanshan Zhao - 1346-1357 Nonparametric Estimation of Conditional Expectation with Auxiliary Information and Dimension Reduction
by Bingying Xie & Jun Shao - 1358-1372 Optimal Permutation Recovery in Permuted Monotone Matrix Model
by Rong Ma & T. Tony Cai & Hongzhe Li - 1373-1382 Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models
by Jianwei Hu & Jingfei Zhang & Hong Qin & Ting Yan & Ji Zhu - 1383-1401 Estimating the Covariance of Fragmented and Other Related Types of Functional Data
by Aurore Delaigle & Peter Hall & Wei Huang & Alois Kneip - 1402-1412 Fast Calibrated Additive Quantile Regression
by Matteo Fasiolo & Simon N. Wood & Margaux Zaffran & Raphaël Nedellec & Yannig Goude - 1413-1427 Metropolized Knockoff Sampling
by Stephen Bates & Emmanuel Candès & Lucas Janson & Wenshuo Wang - 1428-1443 Extreme and Inference for Tail Gini Functionals With Applications in Tail Risk Measurement
by Yanxi Hou & Xing Wang - 1444-1456 Principal Component Analysis of Spatially Indexed Functions
by Thomas Kuenzer & Siegfried Hörmann & Piotr Kokoszka - 1457-1471 Analogues on the Sphere of the Affine-Equivariant Spatial Median
by Janice L. Scealy & Andrew T. A. Wood - 1472-1486 Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression
by Qiang Sun & Heping Zhang - 1487-1497 Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models
by Masayo Y. Hirose & Partha Lahiri - 1498-1506 Inference on Selected Subgroups in Clinical Trials
by Xinzhou Guo & Xuming He - 1507-1520 Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits
by Xialiang Dou & Tengyuan Liang - 1521-1532 Bayesian Factor Analysis for Inference on Interactions
by Federico Ferrari & David B. Dunson - 1548-1559 Thirty Years of The Network Scale-up Method
by Ian Laga & Le Bao & Xiaoyue Niu - 1560-1560 Correction
by The Editors
May 2021, Volume 116, Issue 535
- 1533-1547 Count Time Series: A Methodological Review
by Richard A. Davis & Konstantinos Fokianos & Scott H. Holan & Harry Joe & James Livsey & Robert Lund & Vladas Pipiras & Nalini Ravishanker
April 2021, Volume 116, Issue 534
- 457-470 Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data
by Kevin Z. Lin & Jing Lei & Kathryn Roeder - 471-474 Discussion of “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-seq Data”
by Zhicheng Ji & Hongkai Ji - 475-477 Discussion of “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data”
by Jian Hu & Mingyao Li - 478-480 Rejoinder for “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data”
by Kevin Z. Lin & Jing Lei & Kathryn Roeder - 481-491 The Effects of Stringent and Mild Interventions for Coronavirus Pandemic
by Ting Tian & Jianbin Tan & Wenxiang Luo & Yukang Jiang & Minqiong Chen & Songpan Yang & Canhong Wen & Wenliang Pan & Xueqin Wang - 492-506 The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases
by Francesca Tang & Yang Feng & Hamza Chiheb & Jianqing Fan - 507-517 Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects
by Dean Eckles & Eytan Bakshy - 518-530 Bayesian Joint Modeling of Multiple Brain Functional Networks
by Joshua Lukemire & Suprateek Kundu & Giuseppe Pagnoni & Ying Guo - 531-545 Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration
by 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 & Ruzong Fan - 546-557 On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models
by Philip G. Sansom & David B. Stephenson & Thomas J. Bracegirdle - 558-568 Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study
by Kiranmoy Das & Pulak Ghosh & Michael J. Daniels - 569-580 Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies
by Kwonsang Lee & Dylan S. Small & Francesca Dominici - 581-593 Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data
by Sharmistha Guha & Abel Rodriguez - 594-604 Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records
by Yifei Sun & Charles E. McCulloch & Kieren A. Marr & Chiung-Yu Huang - 605-618 Bayesian Structure Learning in Multilayered Genomic Networks
by Min Jin Ha & Francesco Claudio Stingo & Veerabhadran Baladandayuthapani - 619-631 Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs
by Maxime Rischard & Zach Branson & Luke Miratrix & Luke Bornn - 632-644 Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments
by Kosuke Imai & Zhichao Jiang & Anup Malani - 645-645 Introduction to Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery Part II
by The Editors - 646-658 More Efficient Policy Learning via Optimal Retargeting
by Nathan Kallus - 659-674 Learning Optimal Distributionally Robust Individualized Treatment Rules
by Weibin Mo & Zhengling Qi & Yufeng Liu - 675-679 Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning
by Stijn Vansteelandt & Oliver Dukes - 680-689 Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning
by Sijia Li & Xiudi Li & Alex Luedtke - 690-693 Discussion of Kallus (2020) and Mo et al. (2020)
by Muxuan Liang & Ying-Qi Zhao - 694-698 Rejoinder: New Objectives for Policy Learning
by Nathan Kallus - 699-707 Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules
by Weibin Mo & Zhengling Qi & Yufeng Liu - 708-719 Statistical Inference for Online Decision Making via Stochastic Gradient Descent
by Haoyu Chen & Wenbin Lu & Rui Song - 720-733 Inference for Multivariate Regression Model Based on Synthetic Data Generated Using Plug-in Sampling
by Ricardo Moura & Martin Klein & John Zylstra & Carlos A. Coelho & Bimal Sinha - 734-745 Covariate Regularized Community Detection in Sparse Graphs
by Bowei Yan & Purnamrita Sarkar - 746-755 Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach
by Cong Ma & Junwei Lu & Han Liu - 756-769 Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models
by Jared S. Murray - 770-782 Permutation Tests for Infection Graphs
by Justin Khim & Po-Ling Loh - 783-797 Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data
by Paolo Frumento & Matteo Bottai & Iván Fernández-Val - 798-804 Inference on a New Class of Sample Average Treatment Effects
by Jasjeet S. Sekhon & Yotam Shem-Tov - 805-818 A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
by Emily C. Hector & Peter X.-K. Song - 819-832 Intrinsic Wavelet Regression for Curves of Hermitian Positive Definite Matrices
by Joris Chau & Rainer von Sachs - 833-844 Auto-G-Computation of Causal Effects on a Network
by Eric J. Tchetgen Tchetgen & Isabel R. Fulcher & Ilya Shpitser - 845-857 On the Length of Post-Model-Selection Confidence Intervals Conditional on Polyhedral Constraints
by Danijel Kivaranovic & Hannes Leeb - 858-873 Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO
by Cheng Zhang & Vu Dinh & Frederick A. Matsen - 874-886 Transformed Dynamic Quantile Regression on Censored Data
by Chi Wing Chu & Tony Sit & Gongjun Xu - 887-900 Rare Feature Selection in High Dimensions
by Xiaohan Yan & Jacob Bien - 901-918 Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks
by Laura Forastiere & Edoardo M. Airoldi & Fabrizia Mealli - 919-934 Predictive Inference for Locally Stationary Time Series With an Application to Climate Data
by Srinjoy Das & Dimitris N. Politis - 935-954 Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms
by Jordan Awan & Aleksandra Slavković - 955-968 Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing
by Dungang Liu & Shaobo Li & Yan Yu & Irini Moustaki - 969-983 Privacy-Preserving Parametric Inference: A Case for Robust Statistics
by Marco Avella-Medina - 984-998 Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
by Rong Ma & T. Tony Cai & Hongzhe Li - 999-1010 Grouped Heterogeneous Mixture Modeling for Clustered Data
by Shonosuke Sugasawa - 1011-1022 Regression Modeling for Size-and-Shape Data Based on a Gaussian Model for Landmarks
by Ian L. Dryden & Alfred Kume & Phillip J. Paine & Andrew T. A. Wood - 1023-1037 Graphical Models for Processing Missing Data
by Karthika Mohan & Judea Pearl - 1038-1038 Design of experiments for generalized linear models
by Youngjun Choe - 1039-1039 Correction
by The Editors
January 2021, Volume 116, Issue 533
- 133-143 A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information
by Ting-Huei Chen & Nilanjan Chatterjee & Maria Teresa Landi & Jianxin Shi - 162-173 A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity
by Yifan Cui & Eric Tchetgen Tchetgen - 210-223 A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes
by Jared D. Huling & Maureen A. Smith & Guanhua Chen - 224-239 Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption
by Lin Liu & Zach Shahn & James M. Robins & Andrea Rotnitzky - 269-282 Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes
by Yuan Chen & Donglin Zeng & Yuanjia Wang - 322-334 BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons
by Ruitao Lin & Peter F. Thall & Ying Yuan - 335-352 Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data
by Steve Yadlowsky & Fabio Pellegrini & Federica Lionetto & Stefan Braune & Lu Tian - 353-367 A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff
by Xinran Li & Xiao-Li Meng - 392-409 Learning When-to-Treat Policies
by Xinkun Nie & Emma Brunskill & Stefan Wager - 421-432 Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes
by Yilun Sun & Lu Wang - 433-450 Stochastic Gradient Markov Chain Monte Carlo
by Christopher Nemeth & Paul Fearnhead
February 2021, Volume 116, Issue 533
- 200-206 Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder
by Yifan Cui & Eric Tchetgen Tchetgen
March 2021, Volume 116, Issue 533
- 1-13 Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes
by Zhuo Wang & Yujing Jiang & Hui Wan & Jun Yan & Xuebin Zhang - 14-26 Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data
by Seyoung Park & Hao Xu & Hongyu Zhao - 27-43 Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data
by Souhaib Ben Taieb & James W. Taylor & Rob J. Hyndman - 44-53 Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
by Giovanni Nattino & Bo Lu & Junxin Shi & Stanley Lemeshow & Henry Xiang