Correction

Abstract

Articles in the June 2016 issue of the Journal of the American Statistical Association unintentionally omitted some author affiliations. Following is a complete list of authors and their affiliations

This article refers to:

Fast, Exact Bootstrap Principal Component Analysis for p > 1 Million

Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem

Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification

Joint Estimation of Treatment and Placebo Effects in Clinical Trials With Longitudinal Blinding Assessments

Active Clinical Trials for Personalized Medicine

Exact Post-Selection Inference for Sequential Regression Procedures

Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality

Generalized Quasi-Likelihood Ratio Tests for Semiparametric Analysis of Covariance Models in Longitudinal Data

Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

A Class of Functional Methods for Error-Contaminated Survival Data Under Additive Hazards Models with Replicate Measurements

Simultaneous Sparse Estimation of Canonical Vectors in the p ≫ N Setting

A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making

Sparse Regression Incorporating Graphical Structure Among Predictors

Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere

Trace Pursuit: A General Framework for Model-Free Variable Selection

Modeling E-mail Networks and Inferring Leadership Using Self-Exciting Point Processes

Calibrating Functional Parameters in the Ion Channel Models of Cardiac Cells

Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach

Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis

I-Optimal Design of Mixture Experiments

Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey

Functional CAR Models for Large Spatially Correlated Functional Datasets

Approximations of the Optimal Importance Density Using Gaussian Particle Flow Importance Sampling

A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes

Comment

A General Regression Changepoint Test for Time Series Data

Efficient Estimation of the Cox Model with Auxiliary Subgroup Survival Information

Convex Banding of the Covariance Matrix

Detection of Infectious Disease Outbreaks From Laboratory Data With Reporting Delays

Empirical Likelihood for Right Censored Lifetime Data

Nonparametric Variance Estimation Under Fine Stratification: An Alternative to Collapsed Strata

Robust Orthogonal Complement Principal Component Analysis

Bayesian Conditional Tensor Factorizations for High-Dimensional Classification

The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation

Structured Matrix Completion with Applications to Genomic Data Integration

Applications and Case Studies

Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality, Journal of the American Statistical Association, 111(514), 447–458, DOI: 10.1080/01621459.2015.1112802

 

Colin Fogarty^a, Mark E. Mikkelsen^b, David F. Gaieski^c, and Dylan S. Small^a

 

^aDepartment of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA; ^bPulmonary, Allergy, and Critical Care Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; ^cDepartment of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA

A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making, Journal of the American Statistical Association, 111(514), 459–471, DOI: 10.1080/01621459.2015.1116988

 

Bo Zhou^a, David Moorman^b, Sam Behseta^c, Hernando Ombao^a, and Babak Shahbaba^a

 

^aDepartment of Statistics, University of California, Irvine, CA; ^bUniversity of Massachusetts, Amherst, MA; ^cCSUF, Fullerton, CA

Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey, Journal of the American Statistical Association, 111(514), 472–487, DOI: 10.1080/01621459.2015.1117471

 

Jonathan Ray Bradley, Christopher K. Wikle, and Scott H. Holan

 

Department of Statistics, University of Missouri, Columbia, MO

Detection of Infectious Disease Outbreaks From Laboratory Data With Reporting Delays, Journal of the American Statistical Association, 111(514), 488–499, DOI: 10.1080/01621459.2015.1119047

 

Angela Noufaily^a, Paddy Farrington^b, Paul Garthwaite^b, Doyo Gragn Enki^c, Nick Andrews^d, and Andre Charlett^d

 

^aDepartment of Statistics and Epidemiology, Warwick Medical School, University of Warwick, Milton Keynes, UK; ^bDepartment of Mathematics and Statistics, Open University, Milton Keynes, UK; ^cPeninsula Schools of Medicine and Dentistry, Plymouth University, Plymouth Science Park, Plymouth, UK; ^dPublic Health England, London, UK

Calibrating Functional Parameters in the Ion Channel Models of Cardiac Cells, Journal of the American Statistical Association, 111(514), 500–509, DOI: 10.1080/01621459.2015.1119695

 

Matthew Plumlee^a, V. Roshan Joseph^b, and Hui Yang^c

 

^aUniversity of Michigan, Ann Arbor, MI; ^bGeorgia Institute of Technology, Atlanta, GA; ^cThe Pennsylvania State University, University Park, PA

Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets using Bayesian Principal Stratification, Journal of the American Statistical Association, 111(514), 510–525, DOI: 10.1080/01621459.2015.1125788

 

Laura Forastiere^a, Fabrizia Mealli^a, and Tyler J. VanderWeele^b

 

^aDepartment of Statistics, Informatics and Applications, University of Florence, Florence, Italy; ^bHarvard University, Boston, MA

Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis, Journal of the American Statistical Association, 111(514), 526–537, DOI: 10.1080/01621459.2015.1130632

 

Damião Nóbrega Da Silva^a, Chris Skinner^b, and Jae Kwang Kim^c

 

^aDepartamento de Estatística, Centro de Ciências Exatas e da Terra Campus Universitário, Universidade Federal do Rio Grande do Norte, Natal, Brazil; ^bDepartment of Statistics, London School of Economics and Political Science, London, UK; ^cDepartment of Statistics, Iowa State University, Ames, IA

Joint Estimation of Treatment and Placebo Effects in Clinical Trials with Longitudinal Blinding Assessments, Journal of the American Statistical Association, 111(514), 538–548, DOI: 10.1080/01621459.2015.1130633

 

Wei Liu^a, Zhiwei Zhang^b, Robert Jason Schroeder^b, Martin Ho^b, Bo Zhang^b, Cynthia Long^b, Hui Zhang^c, and Telba Irony^b

 

^aDepartment of Mathematics, Harbin Institute of Technology, Harbin, Heilongjiang, China; ^bFood and Drug Administration, Silver Spring, MD; ^cDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN

Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach, Journal of the American Statistical Association, 111(514), 549–563, DOI: 10.1080/01621459.2015.1133425

 

Zhe Yu^a, Raquel Prado^b, Erin Burke Quinlan^c, Steven C. Cramer^d, and Hernando Ombao^a

 

^aDepartment of Statistics, UC Irvine, Irvine, CA; ^bDepartment of Applied Mathematics and Statistics, University of California, Santa Cruz, Santa Cruz, CA; ^cDepartments of Anatomy and Neurobiology, UC Irvine, Irvine, CA; ^dDepartment of Neurobiology, UC Irvine, Irvine, CA

Modeling E-mail Networks and Inferring Leadership Using Self-Exciting Point Processes, Journal of the American Statistical Association, 111(514), 564–584, DOI: 10.1080/01621459.2015.1135802

 

Eric W. Fox^a, Martin B. Short^b, Frederic Schoenberg^a, Kathryn D. Coronges^c, and Andrea L. Bertozzi^d

 

^aDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA; ^bDepartment of Mathematics, Georgia Institute of Technology, Atlanta, GA; ^cDepartment of Behavioral Sciences and Leadership, United States Military Academy at West Point, West Point, NY; ^dDepartment of Mathematics, University of California, Los Angeles, Los Angeles, CA

A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes, Journal of the American Statistical Association, 111(514), 585–599, DOI: 10.1080/01621459.2016.1141685

 

Daniel Cervone^a, Alexander D'Amour^a, Luke Bornn^a, and Kirk Goldsberry^b

 

^aStatistics Department, Harvard University, Cambridge, MA; ^bCenter for Geographic Analysis, Harvard University, Cambridge, MA

Theory and Methods

Exact Post-Selection Inference for Sequential Regression Procedures, Journal of the American Statistical Association, 111(514), 600–613, DOI: 10.1080/01621459.2015.1108848

 

Ryan Tibshirani^a, Jonathan Taylor^b, Richard A. Lockhart^c, and Robert Tibshirani^a

 

^aDepartment of Statistics, Carnegie Mellon University, Pittsburgh, PA; ^bDepartment of Statistics, Stanford University, Stanford, CA;^cSimon Fraser University, Burnaby, British Columbia, Canada

Comment, Journal of the American Statistical Association, 111(514), 614–618, DOI: 10.1080/01621459.2016.1182788

 

Lawrence D. Brown and Kory D. Johnson

 

The Wharton School, University of Pennsylvania, Philadelphia, PA

Structured Matrix Completion with Applications to Genomic Data Integration, Journal of the American Statistical Association, 111(514), 621–633, DOI: 10.1080/01621459.2015.1021005

 

Tianxi Cai^a, T. Tony Cai^b, and Anru Zhang^b

 

^aDepartment of Biostatistics, Harvard University, Boston, MA; ^bThe Wharton School, University of Pennsylvania, Philadelphia, PA

The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation, Journal of the American Statistical Association, 111(514), 634–645, DOI: 10.1080/01621459.2015.1021006

 

Christopher Oates, Theodore Papamarkou, and Mark Girolami

 

Department of Statistics, University of Warwick, Coventry, UK

Empirical Likelihood for Right-Censored Lifetime Data, Journal of the American Statistical Association, 111(514), 646–655, DOI: 10.1080/01621459.2015.1024058

 

Shuyuan He^a, Wei Liang^b, Junshan Shen^c, and Grace Yang^d

 

^aSchool of Mathematical Sciences, Capital Normal University, Beijing, China; ^bSchool of Mathematical Sciences, Xiamen University, Xiamen, Funjian, China; ^cSchool of Mathematical Sciences, Peking University, Beijing, China; ^dDepartment of Mathematics, University of Maryland, College Park, College Park, MD

Bayesian Conditional Tensor Factorizations for High-Dimensional Classification, Journal of the American Statistical Association, 111(514), 656–669, DOI: 10.1080/01621459.2015.1029129

 

Yun Yang and David Dunson

 

Department of Statistical Science, Duke University, Durham, NC

A General Regression Changepoint Test for Time Series Data, Journal of the American Statistical Association, 111(514), 670–683, DOI: 10.1080/01621459.2015.1029130

 

Michael William Robbins^a, Colin Gallagher^b, and Robert Lund^b

 

^aDepartment of Statistics, University of Missouri, Columbia, MO; ^bDepartment of Mathematical Sciences, Clemson University, Clemson, SC

Class of Functional Methods for Error-Contaminated Survival Data under Additive Hazards Models with Replicate Measurements, Journal of the American Statistical Association, 111(514), 684–695, DOI: 10.1080/01621459.2015.1034317

 

Ying Yan and Grace Y. Yi

 

Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada

Simultaneous Sparse Estimation of Canonical Vectors in the p>>N Setting, Journal of the American Statistical Association, 111(514), 696–706, DOI: 10.1080/01621459.2015.1034318

 

Irina Gaynanova^a, James Booth^b, and Martin T. Wells^a

 

^aDepartment of Statistical Science, Cornell University, Ithaca, NY; ^bDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY

Sparse Regression Incorporating Graphical Structure among Predictors, Journal of the American Statistical Association, 111(514), 707–720, DOI: 10.1080/01621459.2015.1034319

 

Guan Yu^a and Yufeng Liu^b

 

^aDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC; ^bUniversity of North Carolina, Chapel Hill, NC

Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem, Journal of the American Statistical Association, 111(514), 721–735, DOI: 10.1080/01621459.2015.1035380

 

Long Feng, Changliang Zou, and Zhaojun Wang

 

Nankai University, Tainjin, China

Generalized Quasi-Likelihood Ratio Tests for Semiparametric Analysis of Covariance Models in Longitudinal Data, Journal of the American Statistical Association, 111(514), 736–747, DOI: 10.1080/01621459.2015.1036995

 

Yehua Li^a, Jin Tang^b, and Yongtao Guan^c

 

^aDepartment of Statistics, Iowa State University, Ames, IA; ^bDepartment of Statistics, University of Georgia, GA; ^cDepartment of Management Science, University of Miami, Coral Gables, FL

Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling, Journal of the American Statistical Association, 111(514), 748–762, DOI: 10.1080/01621459.2015.1038387

 

Pete Bunch and Simon Godsill

 

Cambridge University Engineering Department, University of Cambridge, Cambridge, UK

Robust Orthogonal Complement Principal Component Analysis, Journal of the American Statistical Association, 111(514), 763–771, DOI: 10.1080/01621459.2015.1042107

 

Yiyuan She^a, Shijie Li^b, and Dapeng Wu^b

 

^aFlorida State University, Tallahassee, FL; ^bDepartment of Electrical & Computer Engineering, University of Florida, Gainesville, FL

Functional CAR Models for Large Spatially Correlated Functional Datasets, Journal of the American Statistical Association, 111(514), 772–786, DOI: 10.1080/01621459.2015.1042581

 

Lin Zhang^a, Veerabhadran Baladandayuthapani^a, Hongxiao Zhu^b, Keith A. Baggerly^c, Tadeusz Majewski^d, Bogden Czerniak^d, and Jeffrey S. Morris^a

 

^aDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX; ^bDepartment of Statistics, Virginia Tech University, Blacksburg, VA; ^cDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX; ^dDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX

Efficient Estimation of the Cox Model With Auxiliary Subgroup Survival Information, Journal of the American Statistical Association, 111(514), 787–799, DOI: 10.1080/01621459.2015.1044090

 

Chiung-Yu Huang^a, Jing Qin^b, and Huei-Ting Tsai^c

 

^aSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD; ^bNational Institute of Allergy and Infectious Diseases, Bethesda, MD; ^cLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets, Journal of the American Statistical Association, 111(514), 800–812, DOI: 10.1080/01621459.2015.1044091

 

Abhirup Datta^a, Sudipto Banerjee^b, Andrew O. Finley^c, and Alan Gelfand^d

 

^aDepartment of Biostatistics, University of Minnesota, Twin Cities, MN; ^bDepartment of Biostatistics, University of California Los Angeles, Los Angeles, CA; ^cMichigan State University, East Lansing, MI; ^dDuke University, Durham, NC

Trace Pursuit: A General Framework for Model-Free Variable Selection, Journal of the American Statistical Association, 111(514), 813–821, DOI: 10.1080/01621459.2015.1050494

 

Lixing Zhu^a, Yuexiao Dong^b, and Zhou Yu^c

^aHong Kong Baptist University, Kowloon Tong Kowloon, Hong Kong; ^bDepartment of Statistics, Temple University, Philadelphia, PA; ^cEast China Normal University, Shanghai, China

Nonparametric Variance Estimation under Fine Stratification: An Alternative to Collapsed Strata, Journal of the American Statistical Association, 111(514), 822–833, DOI: 10.1080/01621459.2015.1058264

 

F. Jay Breidt^a, Jean Opsomer^b, and Ismael Sanchez Borrego^b

 

^aColorado State University, Fort Collins, CO; ^bUniversidad de Granada, Granada, Spain

Convex Banding of the Covariance Matrix, Journal of the American Statistical Association, 111(514), 834–845, DOI: 10.1080/01621459.2015.1058265

 

Jacob Bien^a, Florentina Bunea^b, and Luo Xiao^c

 

^aDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY; ^bDepartment of Statistical Science, Cornell University, Ithaca, NY; ^cDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD

Fast, Exact Bootstrap Principal Component Analysis for p > 1 Million, Journal of the American Statistical Association, 111(514), 846–860, DOI: 10.1080/01621459.2015.1062383

 

Aaron Fisher, Brian Caffo, Brian Schwartz, and Vadim Zipunnikov

 

Johns Hopkins University, Baltimore, MD

Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests, Journal of the American Statistical Association, 111(514), 861–874, DOI: 10.1080/01621459.2015.1066681

 

Baojiang Chen^a, Pengfei Li^b, Jing Qin^c, and Tao Yu^d

 

^aUniversity of Nebraska Medical Center, Omaha, NE; ^bUniversity of Waterloo, Ontario, Canada; ^cNational Institute of Allergy and Infectious Diseases, Bethesda, MD; ^dDepartment of Statistics and Applied Probability, National University of Singapore, Singapore

Active Clinical Trials for Personalized Medicine, Journal of the American Statistical Association, 111(514), 875–887, DOI: 10.1080/01621459.2015.1066682

 

Stanislav Minsker^a, Ying-Qi Zhao^b, and Guang Cheng^c

 

^aDepartment of Mathematics, Duke University, Durham, NC; ^bUniversity of Wisconsin-Madison, Madison, WI; ^cDepartment of Statistics, Purdue University, West Lafayette, IN

Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere, Journal of the American Statistical Association, 111(514), 888–898, DOI: 10.1080/01621459.2015.1072541

 

Emilio Porcu^a, Moreno Bevilacqua^b, and Marc G. Genton^c

 

^aDepartment of Mathematics, University Santa Maria, Valparaiso, Chile; ^bDepartment of Statistics, Universidad de Valparaiso, Valparaiso, Chile; ^cKing Abdullah University of Science and Technology – CEMSE, Thuwal, Saudi Arabia

Review

I-Optimal Design of Mixture Experiments, Journal of the American Statistical Association, 111(514), 899–911, DOI: 10.1080/01621459.2015.1136632

 

Peter Goos^a,c, Bradley Jones^b,c, and Utami Syafitri^c

 

^aKatholieke Universiteit Leuven, Leuven, Belgium; ^bSAS Institute Inc., Cary, NC; ^cDepartment of Engineering Management, Universiteit Antwerpen, Antwerpen, Belgium

The ASA and JASA sincerely regret the omission. Please do not hesitate to contact the Journal Manager, Eric Sampson, at [email protected] if there are any further questions or concerns.