Journal of the American Statistical Association

2008 - 2024

Continuation of Journal of the American Statistical Association.

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

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Volume 107, issue 500, 2012

A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures pp. 1259-1271

William Astle, Maria De Iorio, Sylvia Richardson, David Stephens and Timothy Ebbels

A Nonparametric Regression Model With Tree-Structured Response pp. 1272-1285

Yuan Wang, J. S. Marron, Burcu Aydin, Alim Ladha, Elizabeth Bullitt and Haonan Wang

Direct Simultaneous Inference in Additive Models and Its Application to Model Undernutrition pp. 1286-1296

Manuel Wiesenfarth, Tatyana Krivobokova, Stephan Klasen and Stefan Sperlich

Functional Causal Mediation Analysis With an Application to Brain Connectivity pp. 1297-1309

Martin A. Lindquist

Measurement Error Case Series Models With Application to Infection-Cardiovascular Risk in Older Patients on Dialysis pp. 1310-1323

Sandra M. Mohammed, Damla Şentürk, Lorien S. Dalrymple and Danh V. Nguyen

Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial pp. 1324-1338

Yuanjia Wang, Tanya P. Garcia and Yanyuan Ma

A Stochastic Model for Calibrating the Survival Benefit of Screen-Detected Cancers pp. 1339-1359

Hsiu-Hsi Chen, Amy Ming-Fang Yen and Laszlo Tabár

Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery pp. 1360-1371

José R. Zubizarreta

Modeling Protein Expression and Protein Signaling Pathways pp. 1372-1384

Donatello Telesca, Peter Müller, Steven M. Kornblau, Marc A. Suchard and Yuan Ji

Estimating Identification Disclosure Risk Using Mixed Membership Models pp. 1385-1394

Daniel Manrique-Vallier and Jerome P. Reiter

Minkowski--Weyl Priors for Models With Parameter Constraints: An Analysis of the BioCycle Study pp. 1395-1409

Michelle R. Danaher, Anindya Roy, Zhen Chen, Sunni L. Mumford and Enrique F. Schisterman

Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model pp. 1410-1426

Vanja Dukic, Hedibert F. Lopes and Nicholas G. Polson

Modeling Criminal Careers as Departures From a Unimodal Population Age--Crime Curve: The Case of Marijuana Use pp. 1427-1440

Donatello Telesca, Elena A. Erosheva, Derek A. Kreager and Ross L. Matsueda

Testing for Gene--Environment and Gene--Gene Interactions Under Monotonicity Constraints pp. 1441-1452

Summer S. Han, Philip S. Rosenberg and Nilanjan Chatterjee

Estimation of High Conditional Quantiles for Heavy-Tailed Distributions pp. 1453-1464

Huixia Judy Wang, Deyuan Li and Xuming He

SURE Estimates for a Heteroscedastic Hierarchical Model pp. 1465-1479

Xianchao Xie, S. C. Kou and Lawrence D. Brown

Positive-Definite ℓ 1 -Penalized Estimation of Large Covariance Matrices pp. 1480-1491

Lingzhou Xue, Shiqian Ma and Hui Zou

Landmark Prediction of Long-Term Survival Incorporating Short-Term Event Time Information pp. 1492-1501

Layla Parast, Su-Chun Cheng and Tianxi Cai

Interactions in the Analysis of Variance pp. 1502-1509

P. L. Davies

Correct Ordering in the Zipf--Poisson Ensemble pp. 1510-1517

Justin S. Dyer and Art B. Owen

Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection pp. 1533-1545

Lisha Chen and Jianhua Z. Huang

A Multiresolution Method for Parameter Estimation of Diffusion Processes pp. 1558-1574

S. C. Kou, Benjamin P. Olding, Martin Lysy and Jun S. Liu

AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series pp. 1575-1589

Ori Rosen, Sally Wood and David S. Stoffer

Modeling Repeated Functional Observations pp. 1599-1609

Kehui Chen and Hans-Georg Müller

Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions pp. 1610-1624

Howard D. Bondell and Brian J. Reich

A Semiparametric Change-Point Regression Model for Longitudinal Observations pp. 1625-1637

Haipeng Xing and Zhiliang Ying

Instrumental Variable Estimators for Binary Outcomes pp. 1638-1652

Paul S. Clarke and Frank Windmeijer

Volume 107, issue 499, 2012

Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response pp. 855-865

Ioanna Manolopoulou, Melanie P. Matheu, Michael D. Cahalan, Mike West and Thomas B. Kepler

Multilevel Bayesian Models for Survival Times and Longitudinal Patient-Reported Outcomes With Many Zeros pp. 875-885

Laura A. Hatfield, Mark E. Boye, Michelle D. Hackshaw and Bradley P. Carlin

Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions pp. 886-900

Sally Picciotto, Miguel A. Hernán, John H. Page, Jessica G. Young and James M. Robins

Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia pp. 901-915

José R. Zubizarreta, Mark Neuman, Jeffrey H. Silber and Paul R. Rosenbaum

A Multiscale Community Blockmodel for Network Exploration pp. 916-934

Qirong Ho, Ankur P. Parikh and Eric P. Xing

Searching for Alternative Splicing With a Joint Model on Probe Measurability and Expression Intensities pp. 935-945

Jianhua Hu and Xuming He

Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia pp. 946-957

Chiung-yu Huang and Jing Qin

Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported pp. 958-975

Brent Kreider, John Pepper, Craig Gundersen and Dean Jolliffe

Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification pp. 976-989

María José García-Zattera, Alejandro Jara, Emmanuel Lesaffre and Guillermo Marshall

A Class of Discrete Transformation Survival Models With Application to Default Probability Prediction pp. 990-1003

A. Adam Ding, Shaonan Tian, Yan Yu and Hui Guo

Spatial Statistical Data Fusion for Remote Sensing Applications pp. 1004-1018

Hai Nguyen, Noel Cressie and Amy Braverman

Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes pp. 1049-1062

Qin Zhou, Changliang Zou, Zhaojun Wang and Wei Jiang

Pair Copula Constructions for Multivariate Discrete Data pp. 1063-1072

Anastasios Panagiotelis, Claudia Czado and Harry Joe

The Hybrid Wild Bootstrap for Time Series pp. 1073-1084

Jens-peter Kreiss and Efstathios Paparoditis

Nonparametric Construction of Multivariate Kernels pp. 1085-1095

Victor M. Panaretos and Kjell Konis

Inference on the Order of a Normal Mixture pp. 1096-1105

Jiahua Chen, Pengfei Li and Yuejiao Fu

Estimating Individualized Treatment Rules Using Outcome Weighted Learning pp. 1106-1118

Yingqi Zhao, Donglin Zeng, A. John Rush and Michael R. Kosorok

A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs pp. 1119-1128

Daniel L. Sussman, Minh Tang, Donniell E. Fishkind and Carey E. Priebe

Feature Screening via Distance Correlation Learning pp. 1129-1139

Runze Li, Wei Zhong and Liping Zhu

Optimal Designs for Quantile Regression Models pp. 1140-1151

Holger Dette and Matthias Trampisch

Statistical Modeling of Curves Using Shapes and Related Features pp. 1152-1165

Sebastian Kurtek, Anuj Srivastava, Eric Klassen and Zhaohua Ding

Deconvolution When Classifying Noisy Data Involving Transformations pp. 1166-1177

Raymond Carroll, Aurore Delaigle and Peter Hall

Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data pp. 1178-1186

Mike Danilov, Víctor J. Yohai and Ruben H. Zamar

Sparse Matrix Graphical Models pp. 1187-1200

Chenlei Leng and Cheng Yong Tang

Mode Identification of Volatility in Time-Varying Autoregression pp. 1217-1229

Gabriel Chandler and Wolfgang Polonik

Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond pp. 1239-1252

Shurong Zheng, Ning-Zhong Shi and Zhengjun Zhang

Volume 107, issue 498, 2012

Nonparametric Bayesian Multiple Imputation for Missing Data Due to Mid-Study Switching of Measurement Methods pp. 439-449

Lane F. Burgette and Jerome P. Reiter

Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data pp. 450-466

Paolo Frumento, Fabrizia Mealli, Barbara Pacini and Donald B. Rubin

Application of Branching Models in the Study of Invasive Species pp. 467-476

Earvin Balderama, Frederic Paik Schoenberg, Erin Murray and Philip W. Rundel

Topological Analysis of Variance and the Maxillary Complex pp. 477-492

Giseon Heo, Jennifer Gamble and Peter T. Kim

Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer pp. 493-508

Lu Wang, Andrea Rotnitzky, Xihong Lin, Randall E. Millikan and Peter F. Thall

Comment pp. 509-512

Daniel Almirall, Daniel J. Lizotte and Susan A. Murphy

Comment pp. 513-517

Paul Chaffee and Mark van der Laan

Rejoinder pp. 518-520

Lu Wang, Andrea Rotnitzky, Xihong Lin, Randall E. Millikan and Peter F. Thall

Does Marriage Boost Men’s Wages?: Identification of Treatment Effects in Fixed Effects Regression Models for Panel Data pp. 521-529

Michael E. Sobel

Inference With Interference Between Units in an fMRI Experiment of Motor Inhibition pp. 530-541

Xi Luo, Dylan S. Small, Chiang-Shan R. Li and Paul R. Rosenbaum

Evaluating the Effect of Early Versus Late ARV Regimen Change if Failure on an Initial Regimen: Results From the AIDS Clinical Trials Group Study A5095 pp. 542-554

Li Li, Joseph J. Eron, Heather Ribaudo, Roy M. Gulick and Brent A. Johnson

Meta-Analysis of Rare Binary Adverse Event Data pp. 555-567

Dulal K. Bhaumik, Anup Amatya, Sharon-Lise T. Normand, Joel Greenhouse, Eloise Kaizar, Brian Neelon and Robert D. Gibbons

Spatio-Spectral Mixed-Effects Model for Functional Magnetic Resonance Imaging Data pp. 568-577

Hakmook Kang, Hernando Ombao, Crystal Linkletter, Nicole Long and David Badre

Clustering, Spatial Correlations, and Randomization Inference pp. 578-591

Thomas Barrios, Rebecca Diamond, Guido Imbens and Michal Kolesár

Vast Portfolio Selection With Gross-Exposure Constraints pp. 592-606

Jianqing Fan, Jingjin Zhang and Ke Yu

The Variance Profile pp. 607-621

Alessandra Luati, Tommaso Proietti and Marco Reale

Inverse Realized Laplace Transforms for Nonparametric Volatility Density Estimation in Jump-Diffusions pp. 622-635

Viktor Todorov and George Tauchen

Objective Priors for Discrete Parameter Spaces pp. 636-648

James O. Berger, Jose M. Bernardo and Dongchu Sun

Bayesian Model Selection in High-Dimensional Settings pp. 649-660

Valen E. Johnson and David Rossell

Moderate-Deviation-Based Inference for Random Degeneration in Paired Rank Lists pp. 661-672

Peter Hall and Michael G. Schimek

Multiple Testing of Composite Null Hypotheses in Heteroscedastic Models pp. 673-687

Wenguang Sun and Alexander C. McLain

Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event pp. 688-700

Liuquan Sun, Xinyuan Song, Jie Zhou and Lei Liu

Informative Estimation and Selection of Correlation Structure for Longitudinal Data pp. 701-710

Jianhui Zhou and Annie Qu

Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach pp. 711-724

Mian Huang and Weixin Yao

Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution pp. 725-736

Peng Wang, Guei-feng Tsai and Annie Qu

DD -Classifier: Nonparametric Classification Procedure Based on DD -Plot pp. 737-753

Jun Li, Juan A. Cuesta-Albertos and Regina Y. Liu

A Studentized Permutation Test for the Comparison of Spatial Point Patterns pp. 754-764

Ute Hahn

Quantile Periodograms pp. 765-776

Ta-Hsin Li

New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing pp. 777-787

Thomas J. Fisher and Colin M. Gallagher

The Geometry of Nonparametric Filament Estimation pp. 788-799

Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli and Larry Wasserman

Smooth Blockwise Iterative Thresholding: A Smooth Fixed Point Estimator Based on the Likelihood’s Block Gradient pp. 800-813

Sylvain Sardy

Structured, Sparse Aggregation pp. 814-823

Daniel Percival

Probabilistic Foundation of Confirmatory Adaptive Designs pp. 824-832

W. Brannath, G. Gutjahr and P. Bauer

A Martingale Representation for Matching Estimators pp. 833-843

Alberto Abadie and Guido Imbens

Testing for Trend in the Presence of Autoregressive Error: A Comment pp. 844-844

Pierre Perron and Tomoyoshi Yabu

Volume 107, issue 497, 2012

Nonparametric Covariate-Adjusted Association Tests Based on the Generalized Kendall's Tau pp. 1-11

Wensheng Zhu, Yuan Jiang and Heping Zhang

Intrinsic Regression Models for Medial Representation of Subcortical Structures pp. 12-23

Xiaoyan Shi, Hongtu Zhu, Joseph G. Ibrahim, Faming Liang, Jeffrey Lieberman and Martin Styner

Modeling Waves of Extreme Temperature: The Changing Tails of Four Cities pp. 24-39

Debbie J. Dupuis

Adjustment for Missing Confounders Using External Validation Data and Propensity Scores pp. 40-51

Lawrence C. McCandless, Sylvia Richardson and Nicky Best

Partially Hidden Markov Model for Time-Varying Principal Stratification in HIV Prevention Trials pp. 52-65

James Y. Dai, Peter B. Gilbert and Benoît R. Mâsse

Using Conditional Kernel Density Estimation for Wind Power Density Forecasting pp. 66-79

Jooyoung Jeon and James W. Taylor

Bayesian Inference for Dynamic Treatment Regimes: Mobility, Equity, and Efficiency in Student Tracking pp. 80-92

Tristan Zajonc

Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance pp. 93-101

Alexandre Rodrigues and Peter J. Diggle

Cross-Dimensional Inference of Dependent High-Dimensional Data pp. 135-151

Keyur H. Desai and John D. Storey

Sparse Estimation of Conditional Graphical Models With Application to Gene Networks pp. 152-167

Bing Li, Hyonho Chun and Hongyu Zhao

A Semiparametric Approach to Dimension Reduction pp. 168-179

Yanyuan Ma and Liping Zhu

A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components pp. 180-193

Tatiyana V. Apanasovich, Marc G. Genton and Ying Sun

Multiple Imputation for M -Regression With Censored Covariates pp. 194-204

Huixia Judy Wang and Xingdong Feng

Information Ratio Test for Model Misspecification in Quasi-Likelihood Inference pp. 205-213

Qian M. Zhou, Peter X.-K. Song and Mary E. Thompson

Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension pp. 214-222

Lan Wang, Yichao Wu and Runze Li

Likelihood-Based Selection and Sharp Parameter Estimation pp. 223-232

Xiaotong Shen, Wei Pan and Yunzhang Zhu

Block Bootstraps for Time Series With Fixed Regressors pp. 233-246

Daniel J. Nordman and Soumendra N. Lahiri

Semiparametric Double Balancing Score Estimation for Incomplete Data With Ignorable Missingness pp. 247-257

Zonghui Hu, Dean A. Follmann and Jing Qin

One-Sided and Two-Sided Tolerance Intervals in General Mixed and Random Effects Models Using Small-Sample Asymptotics pp. 258-267

Gaurav Sharma and T Mathew

Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach pp. 268-280

Moreno Bevilacqua, Carlo Gaetan, Jorge Mateu and Emilio Porcu

Modeling Nonstationary Processes Through Dimension Expansion pp. 281-289

Luke Bornn, Gavin Shaddick and James V. Zidek

Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation pp. 290-303

Michael Smith and Mohamad Khaled

A Heckman Selection- t Model pp. 304-317

Yulia V. Marchenko and Marc G. Genton

Estimating Regression Parameters in an Extended Proportional Odds Model pp. 318-330

Ying Qing Chen, Nan Hu, Su-Chun Cheng, Philippa Musoke and Lue Ping Zhao

Recursively Imputed Survival Trees pp. 331-340

Ruoqing Zhu and Michael R. Kosorok

Interim Design Modifications in Time-to-Event Studies pp. 341-348

Sebastian Irle and Helmut Schäfer

On Fractile Transformation of Covariates in Regression pp. 349-361

Bodhisattva Sen and Probal Chaudhuri

Simplex Factor Models for Multivariate Unordered Categorical Data pp. 362-377

Anirban Bhattacharya and David B. Dunson

Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets pp. 378-392

Ranjan Maitra, Volodymyr Melnykov and Soumendra N. Lahiri

Sliced Latin Hypercube Designs pp. 393-399

Peter Z. G. Qian

Optimal Designs for Rational Function Regression pp. 400-411

Dávid Papp

Vast Volatility Matrix Estimation Using High-Frequency Data for Portfolio Selection pp. 412-428

Jianqing Fan, Yingying Li and Ke Yu