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Content
October 2021, Volume 116, Issue 536
- 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 - 54-67 Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection
by Kevin Z. Lin & Han Liu & Kathryn Roeder - 68-81 Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification
by Lucy Xia & Richard Zhao & Yanhui Wu & Xin Tong - 82-92 Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools
by Bikram Karmakar & Dylan S. Small & Paul R. Rosenbaum - 93-106 A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation
by Gregory P. Bopp & Benjamin A. Shaby & Raphaël Huser - 107-115 Incorporating Animal Movement Into Distance Sampling
by R. Glennie & S. T. Buckland & R. Langrock & T. Gerrodette & L. T. Ballance & S. J. Chivers & M. D. Scott - 116-132 Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models
by Decai Liang & Haozhe Zhang & Xiaohui Chang & Hui Huang - 144-158 Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation
by Long Feng & Xuan Bi & Heping Zhang - 159-161 Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery
by Michael R. Kosorok & Eric B. Laber & Dylan S. Small & Donglin Zeng - 174-191 Optimal Individualized Decision Rules Using Instrumental Variable Methods
by Hongxiang Qiu & Marco Carone & Ekaterina Sadikova & Maria Petukhova & Ronald C. Kessler & Alex Luedtke - 192-195 Comment: Individualized Treatment Rules Under Endogeneity
by Sukjin Han - 196-199 Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020)
by Bo Zhang & Hongming Pu - 207-209 Rejoinder: Optimal Individualized Decision Rules Using Instrumental Variable Methods
by Hongxiang Qiu & Marco Carone & Ekaterina Sadikova & Maria Petukhova & Ronald C. Kessler & Alex Luedtke - 240-255 Statistical Inference for Online Decision Making: In a Contextual Bandit Setting
by Haoyu Chen & Wenbin Lu & Rui Song - 256-268 Doubly Robust Estimation of Optimal Dosing Strategies
by Juliana Schulz & Erica E. M. Moodie - 283-294 Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules
by Yinghao Pan & Ying-Qi Zhao - 295-308 Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding
by Bo Zhang & Jordan Weiss & Dylan S. Small & Qingyuan Zhao - 309-321 Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates
by Wenchuan Guo & Xiao-Hua Zhou & Shujie Ma - 368-381 Robust Q-Learning
by Ashkan Ertefaie & James R. McKay & David Oslin & Robert L. Strawderman - 382-391 Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health
by Peng Liao & Predrag Klasnja & Susan Murphy - 410-420 Personalized Policy Learning Using Longitudinal Mobile Health Data
by Xinyu Hu & Min Qian & Bin Cheng & Ying Kuen Cheung - 451-453 Handbook of Spatial Epidemiology
by The Editors - 453-455 Handbook of Environmental and Ecological Statistics
by Grace S. Chiu
November 2020, Volume 116, Issue 535
- 1140-1154 High-Dimensional Precision Medicine From Patient-Derived Xenografts
by 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 & Michael R. Kosorok
October 2020, 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 - 210-223 A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes
by Jared D. Huling & Maureen A. Smith & Guanhua Chen - 269-282 Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes
by Yuan Chen & Donglin Zeng & Yuanjia Wang - 421-432 Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes
by Yilun Sun & Lu Wang
November 2020, Volume 116, Issue 533
- 322-334 BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons
by Ruitao Lin & Peter F. Thall & Ying Yuan - 392-409 Learning When-to-Treat Policies
by Xinkun Nie & Emma Brunskill & Stefan Wager
December 2020, Volume 116, Issue 533
- 162-173 A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity
by Yifan Cui & Eric Tchetgen Tchetgen - 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
July 2020, Volume 116, Issue 533
- 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
December 2020, Volume 115, Issue 532
- 1559-1573 The Statistical Face of a Region Under Monsoon Rainfall in Eastern India
by Kaushik Jana & Debasis Sengupta & Subrata Kundu & Arindam Chakraborty & Purnima Shaw - 1574-1597 Bayesian Scalar on Image Regression With Nonignorable Nonresponse
by Xiangnan Feng & Tengfei Li & Xinyuan Song & Hongtu Zhu - 1598-1619 Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR Model
by Bingduo Yang & Wei Long & Liang Peng & Zongwu Cai - 1620-1634 Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records
by Yang Ni & Peter Müller & Yuan Ji - 1635-1644 Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies
by Samrachana Adhikari & Sherri Rose & Sharon-Lise Normand - 1645-1663 A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard
by Changgee Chang & Jeong Hoon Jang & Amita Manatunga & Andrew T. Taylor & Qi Long - 1664-1674 Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study
by Chih-Li Sung & Ying Hung & William Rittase & Cheng Zhu & C. F. J. Wu - 1675-1688 Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons
by Samuel D. Pimentel & Rachel R. Kelz - 1689-1699 Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage
by Emma G. Thomas & Lorenzo Trippa & Giovanni Parmigiani & Francesca Dominici - 1700-1714 A Tuning-free Robust and Efficient Approach to High-dimensional Regression
by Lan Wang & Bo Peng & Jelena Bradic & Runze Li & Yunan Wu - 1715-1716 Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Po-Ling Loh - 1717-1719 Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Xiudi Li & Ali Shojaie - 1720-1725 Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Jianqing Fan & Cong Ma & Kaizheng Wang - 1726-1729 Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Lan Wang & Bo Peng & Jelena Bradic & Runze Li & Yunan Wu - 1730-1746 Flexible Sensitivity Analysis for Observational Studies Without Observable Implications
by AlexanderM. Franks & Alexander D’Amour & Avi Feller - 1747-1755 Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR Control
by Leying Guan & Xi Chen & Wing Hung Wong - 1756-1770 Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications
by Yunxiao Chen & Xiaoou Li & Siliang Zhang - 1771-1783 Corrected Bayesian Information Criterion for Stochastic Block Models
by Jianwei Hu & Hong Qin & Ting Yan & Yunpeng Zhao - 1784-1797 Functional Horseshoe Priors for Subspace Shrinkage
by Minsuk Shin & Anirban Bhattacharya & Valen E. Johnson - 1798-1811 A Statistical Method for Emulation of Computer Models With Invariance-Preserving Properties, With Application to Structural Energy Prediction
by Xiao Nie & Peter Chien & Dane Morgan & Amy Kaczmarowski - 1812-1821 Optimal Designs for the Two-Dimensional Interference Model
by A. S. Hedayat & Heng Xu & Wei Zheng - 1822-1834 IPAD: Stable Interpretable Forecasting with Knockoffs Inference
by Yingying Fan & Jinchi Lv & Mahrad Sharifvaghefi & Yoshimasa Uematsu - 1835-1850 Fixed Effects Testing in High-Dimensional Linear Mixed Models
by Jelena Bradic & Gerda Claeskens & Thomas Gueuning - 1851-1860 Robust Inference Using Inverse Probability Weighting
by Xinwei Ma & Jingshen Wang - 1861-1872 Deep Knockoffs
by Yaniv Romano & Matteo Sesia & Emmanuel Candès - 1873-1887 On Optimal Tests for Rotational Symmetry Against New Classes of Hyperspherical Distributions
by Eduardo García-Portugués & Davy Paindaveine & Thomas Verdebout - 1888-1901 Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND
by S. R. Johnson & D. A. Henderson & R. J. Boys - 1902-1916 Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation
by P. Hall & I.M. Johnstone & J.T. Ormerod & M.P. Wand & J.C.F. Yu - 1917-1932 Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics
by David Benkeser & Maya Petersen & Mark J. van der Laan - 1933-1945 Empirical Frequency Band Analysis of Nonstationary Time Series
by Scott A. Bruce & Cheng Yong Tang & Martica H. Hall & Robert T. Krafty - 1946-1959 Optimal Designs of Two-Phase Studies
by Ran Tao & Donglin Zeng & Dan-Yu Lin - 1960-1977 The Five Trolls Under the Bridge: Principal Component Analysis With Asynchronous and Noisy High Frequency Data
by Dachuan Chen & Per A. Mykland & Lan Zhang - 1978-1997 Cross-Validation With Confidence
by Jing Lei - 1998-2010 Targeted Random Projection for Prediction From High-Dimensional Features
by Minerva Mukhopadhyay & David B. Dunson - 2011-2021 Doubly Robust Inference With Nonprobability Survey Samples
by Yilin Chen & Pengfei Li & Changbao Wu - 2022-2036 Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis
by Jingfei Zhang & Will Wei Sun & Lexin Li - 2037-2052 Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family
by Jonathan R. Bradley & Scott H. Holan & Christopher K. Wikle - 2053-2067 Adaptive Sparse Estimation With Side Information
by Trambak Banerjee & Gourab Mukherjee & Wenguang Sun - 2068-2083 Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods
by Kathleen T. Li - 2084-2099 Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model
by Junwei Lu & Mladen Kolar & Han Liu - 2100-2101 Handbook of Approximate Bayesian Computation
by Jordan J. Franks - 2101-2102 Handbook of Mixture Analysis
by Yen-Chi Chen - 2102-2104 The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach
by Richard J. Cook - 2105-2113 Editorial Collaborators
by The Editors
July 2020, Volume 115, Issue 531
- 1037-1054 Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes
by Daniela Castro-Camilo & Raphaël Huser - 1055-1065 ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns
by Douglas R. Wilson & Chong Jin & Joseph G. Ibrahim & Wei Sun - 1066-1078 Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals
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