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Content
June 2023, Volume 79, Issue 2
- 587-591 Discussion on “Instrumented difference‐in‐differences” by Ye, Ertefaie, Flory, Hennessy, Small
by Zhiqiang Tan
- 592-596 Discussion on “Instrumented difference‐in‐differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small
by Hyunseung Kang
- 597-600 Discussion on: Instrumented difference‐in‐differences, by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy and Dylan S. Small
by Karla DiazOrdaz
- 601-603 Rejoinder to “Instrumented difference‐in‐differences”
by Ting Ye & Ashkan Ertefaie & James Flory & Sean Hennessy & Dylan S. Small
- 604-615 A novel Bayesian functional spatial partitioning method with application to prostate cancer lesion detection using MRI
by Maria Masotti & Lin Zhang & Ethan Leng & Gregory J. Metzger & Joseph S. Koopmeiners
- 616-628 Bayesian spatiotemporal modeling on complex‐valued fMRI signals via kernel convolutions
by Cheng‐Han Yu & Raquel Prado & Hernando Ombao & Daniel Rowe
- 629-641 Bayesian inference for stationary points in Gaussian process regression models for event‐related potentials analysis
by Cheng‐Han Yu & Meng Li & Colin Noe & Simon Fischer‐Baum & Marina Vannucci
- 642-654 Bayes optimal informer sets for early‐stage drug discovery
by Peng Yu & Spencer Ericksen & Anthony Gitter & Michael A. Newton
- 655-668 Bayesian interaction selection model for multimodal neuroimaging data analysis
by Yize Zhao & Ben Wu & Jian Kang
- 669-683 Bayesian sample size determination using commensurate priors to leverage preexperimental data
by Haiyan Zheng & Thomas Jaki & James M.S. Wason
- 684-694 Robust Bayesian variable selection for gene–environment interactions
by Jie Ren & Fei Zhou & Xiaoxi Li & Shuangge Ma & Yu Jiang & Cen Wu
- 695-710 Semiparametric additive time‐varying coefficients model for longitudinal data with censored time origin
by Yanqing Sun & Qiong Shou & Peter B. Gilbert & Fei Heng & Xiyuan Qian
- 711-721 Neural networks for clustered and longitudinal data using mixed effects models
by Francesca Mandel & Riddhi Pratim Ghosh & Ian Barnett
- 722-733 Functional data analysis for longitudinal data with informative observation times
by Caleb Weaver & Luo Xiao & Wenbin Lu
- 734-746 A time‐heterogeneous D‐vine copula model for unbalanced and unequally spaced longitudinal data
by Md Erfanul Hoque & Elif F. Acar & Mahmoud Torabi
- 747-760 Multikink quantile regression for longitudinal data with application to progesterone data analysis
by Chuang Wan & Wei Zhong & Wenyang Zhang & Changliang Zou
- 761-774 Model‐based clustering of high‐dimensional longitudinal data via regularization
by Luoying Yang & Tong Tong Wu
- 775-787 Coherent modeling of longitudinal causal effects on binary outcomes
by Linbo Wang & Xiang Meng & Thomas S. Richardson & James M. Robins
- 788-798 Robust approach to combining multiple markers to improve surrogacy
by Xuan Wang & Layla Parast & Larry Han & Lu Tian & Tianxi Cai
- 799-810 Testing for heterogeneity in the utility of a surrogate marker
by Layla Parast & Tianxi Cai & Lu Tian
- 811-825 Selective prediction‐set models with coverage rate guarantees
by Jean Feng & Arjun Sondhi & Jessica Perry & Noah Simon
- 826-840 A joint fairness model with applications to risk predictions for underrepresented populations
by Hyungrok Do & Shinjini Nandi & Preston Putzel & Padhraic Smyth & Judy Zhong
- 841-853 Cross‐trait prediction accuracy of summary statistics in genome‐wide association studies
by Bingxin Zhao & Fei Zou & Hongtu Zhu
- 854-865 Estimating cell type composition using isoform expression one gene at a time
by Hillary M. Heiling & Douglas R. Wilson & Naim U. Rashid & Wei Sun & Joseph G. Ibrahim
- 866-877 Multisource single‐cell data integration by MAW barycenter for Gaussian mixture models
by Lin Lin & Wei Shi & Jianbo Ye & Jia Li
- 878-890 Feature screening with latent responses
by Congran Yu & Wenwen Guo & Xinyuan Song & Hengjian Cui
- 891-902 An eigenvalue ratio approach to inferring population structure from whole genome sequencing data
by Yuyang Xu & Zhonghua Liu & Jianfeng Yao
- 903-914 Ultra‐high dimensional variable selection for doubly robust causal inference
by Dingke Tang & Dehan Kong & Wenliang Pan & Linbo Wang
- 915-925 Joint gene network construction by single‐cell RNA sequencing data
by Meichen Dong & Yiping He & Yuchao Jiang & Fei Zou
- 926-939 Screening methods for linear errors‐in‐variables models in high dimensions
by Linh H. Nghiem & Francis K.C. Hui & Samuel Müller & A.H. Welsh
- 940-950 Clustering high‐dimensional data via feature selection
by Tianqi Liu & Yu Lu & Biqing Zhu & Hongyu Zhao
- 951-963 A general framework of nonparametric feature selection in high‐dimensional data
by Hang Yu & Yuanjia Wang & Donglin Zeng
- 964-974 Random projection ensemble classification with high‐dimensional time series
by Fuli Zhang & Kung‐Sik Chan
- 975-987 Estimation of the odds ratio in a proportional odds model with censored time‐lagged outcome in a randomized clinical trial
by Anastasios A. Tsiatis & Marie Davidian & Shannon T. Holloway
- 988-999 Variable selection in regression‐based estimation of dynamic treatment regimes
by Zeyu Bian & Erica E. M. Moodie & Susan M. Shortreed & Sahir Bhatnagar
- 1000-1013 Nonparametric and semiparametric estimation with sequentially truncated survival data
by Rebecca A. Betensky & Jing Qian & Jingyao Hou
- 1014-1028 Nonparametric estimation of the causal effect of a stochastic threshold‐based intervention
by Lars van der Laan & Wenbo Zhang & Peter B. Gilbert
- 1029-1041 Nonparametric inverse‐probability‐weighted estimators based on the highly adaptive lasso
by Ashkan Ertefaie & Nima S. Hejazi & Mark J. van der Laan
- 1042-1056 Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis
by Guanglei Hong & Fan Yang & Xu Qin
- 1057-1072 Efficient and robust methods for causally interpretable meta‐analysis: Transporting inferences from multiple randomized trials to a target population
by Issa J. Dahabreh & Sarah E. Robertson & Lucia C. Petito & Miguel A. Hernán & Jon A. Steingrimsson
- 1073-1088 Generalized network structured models with mixed responses subject to measurement error and misclassification
by Qihuang Zhang & Grace Y. Yi
- 1089-1102 Zero‐inflated Poisson models with measurement error in the response
by Qihuang Zhang & Grace Y. Yi
- 1103-1113 Closed testing with Globaltest, with application in metabolomics
by Ningning Xu & Aldo Solari & Jelle J. Goeman
- 1114-1118 A note on familywise error rate for a primary and secondary endpoint
by Michael A. Proschan & Dean A. Follmann
- 1119-1132 Domain selection and familywise error rate for functional data: A unified framework
by Konrad Abramowicz & Alessia Pini & Lina Schelin & Sara Sjöstedt de Luna & Aymeric Stamm & Simone Vantini
- 1133-1144 Exact‐corrected confidence interval for risk difference in noninferiority binomial trials
by Nour Hawila & Arthur Berg
- 1145-1158 Estimated quadratic inference function for correlated failure time data
by Feifei Yan & Yanyan Liu & Jianwen Cai & Haibo Zhou
- 1159-1172 The generalized Fisher's combination and accurate p‐value calculation under dependence
by Hong Zhang & Zheyang Wu
- 1173-1186 Inference for nonparanormal partial correlation via regularized rank‐based nodewise regression
by Haoyan Hu & Yumou Qiu
- 1187-1200 Decomposition of variation of mixed variables by a latent mixed Gaussian copula model
by Yutong Liu & Toni Darville & Xiaojing Zheng & Quefeng Li
- 1201-1212 A compound decision approach to covariance matrix estimation
by Huiqin Xin & Sihai Dave Zhao
- 1213-1225 Improving trial generalizability using observational studies
by Dasom Lee & Shu Yang & Lin Dong & Xiaofei Wang & Donglin Zeng & Jianwen Cai
- 1226-1238 Functional group bridge for simultaneous regression and support estimation
by Zhengjia Wang & John Magnotti & Michael S. Beauchamp & Meng Li
- 1239-1253 Robust functional principal component analysis via a functional pairwise spatial sign operator
by Guangxing Wang & Sisheng Liu & Fang Han & Chong‐Zhi Di
- 1254-1267 Continuous time‐interaction processes for population size estimation, with an application to drug dealing in Italy
by Linda Altieri & Alessio Farcomeni & Danilo Alunni Fegatelli
- 1268-1279 Score test for missing at random or not under logistic missingness models
by Hairu Wang & Zhiping Lu & Yukun Liu
- 1280-1292 A cross‐validation statistical framework for asymmetric data integration
by Lam Tran & Kevin He & Di Wang & Hui Jiang
- 1293-1305 Power analysis for cluster randomized trials with continuous coprimary endpoints
by Siyun Yang & Mirjam Moerbeek & Monica Taljaard & Fan Li
- 1306-1317 Translocation detection from Hi‐C data via scan statistics
by Anthony Cheng & Disheng Mao & Yuping Zhang & Joseph Glaz & Zhengqing Ouyang
- 1318-1329 It's all relative: Regression analysis with compositional predictors
by Gen Li & Yan Li & Kun Chen
- 1330-1343 A formal causal interpretation of the case‐crossover design
by Zach Shahn & Miguel A. Hernán & James M. Robins
- 1344-1345 Discussion of “A formal causal interpretation of the case‐crossover design”
by Per Kragh Andersen & Torben Martinussen
- 1346-1348 Discussion of “A formal causal interpretation of the case‐crossover design” by Zach Shahn, Miguel A. Hernan, and James M. Robins
by Ruth M. Pfeiffer & Mitchell H. Gail
- 1349-1350 Discussion on “A formal causal interpretation of the case‐crossover design” by Zach Shahn, Miguel A. Hernán, and James M. Robins
by Thomas Lumley
- 1351-1358 Rejoinder: A formal causal interpretation of the case‐crossover design
by Zach Shahn & Miguel A. Hernán & James M. Robins
- 1359-1369 Supervised two‐dimensional functional principal component analysis with time‐to‐event outcomes and mammogram imaging data
by Shu Jiang & Jiguo Cao & Bernard Rosner & Graham A. Colditz
- 1370-1382 Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data
by Laura D'Angelo & Antonio Canale & Zhaoxia Yu & Michele Guindani
- 1383-1396 Bayesian nonparametric analysis of restricted mean survival time
by Chenyang Zhang & Guosheng Yin
- 1397-1408 A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES
by Paul A. Parker & Scott H. Holan
- 1409-1419 Assessing intervention effects in a randomized trial within a social network
by Shaina J. Alexandria & Michael G. Hudgens & Allison E. Aiello
- 1420-1432 Design and analysis of two‐phase studies with multivariate longitudinal data
by Chiara Di Gravio & Ran Tao & Jonathan S. Schildcrout
- 1433-1445 An alternative metric for evaluating the potential patient benefit of response‐adaptive randomization procedures
by Jennifer Proper & Thomas A. Murray
- 1446-1458 A Bayesian model with application for adaptive platform trials having temporal changes
by Chenguang Wang & Min Lin & Gary L. Rosner & Guoxing Soon
- 1459-1471 A Bayesian platform trial design to simultaneously evaluate multiple drugs in multiple indications with mixed endpoints
by Yujie Zhao & Rui (Sammi) Tang & Yeting Du & Ying Yuan
- 1472-1484 Leveraging a surrogate outcome to improve inference on a partially missing target outcome
by Zachary R. McCaw & Sheila M. Gaynor & Ryan Sun & Xihong Lin
- 1485-1495 A repeated measures approach to pooled and calibrated biomarker data
by Abigail Sloan & Chao Cheng & Bernard Rosner & Regina G. Ziegler & Stephanie A. Smith‐Warner & Molin Wang
- 1496-1506 Evaluating treatment effects in group sequential multivariate longitudinal studies with covariate adjustment
by Neal O. Jeffries & James F. Troendle & Nancy L. Geller
- 1507-1519 A hierarchical model for analyzing multisite individual‐level disease surveillance data from multiple systems
by Yuzi Zhang & Howard H. Chang & Qu Cheng & Philip A. Collender & Ting Li & Jinge He & Justin V. Remais
- 1520-1533 Semiparametric count data regression for self‐reported mental health
by Daniel R. Kowal & Bohan Wu
- 1534-1545 Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using nontargeted HPV strains
by Lola Etievant & Joshua N. Sampson & Mitchell H. Gail
- 1546-1558 Simplifying the estimation of diagnostic testing accuracy over time for high specificity tests in the absence of a gold standard
by Clara Drew & Moses Badio & Dehkontee Dennis & Lisa Hensley & Elizabeth Higgs & Michael Sneller & Mosoka Fallah & Cavan Reilly
- 1559-1572 Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments
by Zichen Ma & Shannon W. Davis & Yen‐Yi Ho
- 1573-1585 Inference for set‐based effects in genetic association studies with interval‐censored outcomes
by Ryan Sun & Liang Zhu & Yimei Li & Yutaka Yasui & Leslie Robison
- 1586-1587 Statistics in the public interest: In memory of Stephen E. Fienberg Alicia L. Carriquiry, Judith M. Tanur, William F. Eddy, Margaret L. Smykla (Eds.), New York City: Springer. 2022
by David Banks
- 1587-1589 Writing grant proposals in epidemiology, preventive medicine, and biostatistics Lisa Chasan‐Taber, CRC Press: Boca Raton FL. 2022. https://doi.org/10.1201/9781003155140
by James S. Hodges
- 1589-1590 Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press
by Chuhsing Kate Hsiao
March 2023, Volume 79, Issue 1
December 2022, Volume 78, Issue 4
- 1279-1290 Spatial+: A novel approach to spatial confounding
by Emiko Dupont & Simon N. Wood & Nicole H. Augustin
- 1291-1294 Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin
by Brian J. Reich & Shu Yang & Yawen Guan
- 1295-1299 Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
by Isa Marques & Thomas Kneib
- 1300-1304 Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
by Alexandra M. Schmidt
- 1305-1308 Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
by Georgia Papadogeorgou
- 1309-1312 Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”
by Emiko Dupont & Simon N. Wood & Nicole H. Augustin
- 1313-1327 WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data
by Christopher A. German & Janet S. Sinsheimer & Jin Zhou & Hua Zhou
- 1328-1341 Varying‐coefficient regression analysis for pooled biomonitoring
by Dewei Wang & Xichen Mou & Yan Liu
- 1342-1352 Analysis of local sensitivity to nonignorability with missing outcomes and predictors
by Heng Chen & Daniel F. Heitjan
- 1353-1364 Group sequential testing for cluster randomized trials with time‐to‐event endpoint
by Jianghao Li & Sin‐Ho Jung
- 1365-1376 Integration of survival data from multiple studies
by Steffen Ventz & Rahul Mazumder & Lorenzo Trippa
- 1377-1389 On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime
by Xin Chen & Rui Song & Jiajia Zhang & Swann Arp Adams & Liuquan Sun & Wenbin Lu
- 1390-1401 Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation
by Bella Vakulenko‐Lagun & Jing Qian & Sy Han Chiou & Nancy Wang & Rebecca A. Betensky
- 1402-1413 Simultaneous variable selection in regression analysis of multivariate interval‐censored data
by Liuquan Sun & Shuwei Li & Lianming Wang & Xinyuan Song & Xuemei Sui
- 1414-1426 Binacox: automatic cut‐point detection in high‐dimensional Cox model with applications in genetics
by Simon Bussy & Mokhtar Z. Alaya & Anne‐Sophie Jannot & Agathe Guilloux
- 1427-1440 Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity
by Henry R. Scharf & Ann M. Raiho & Sierra Pugh & Carl A. Roland & David K. Swanson & Sarah E. Stehn & Mevin B. Hooten
- 1441-1453 Bayesian adaptive trial design for a continuous biomarker with possibly nonlinear or nonmonotone prognostic or predictive effects
by Yusha Liu & John A. Kairalla & Lindsay A. Renfro
- 1454-1463 Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator
by Lorenzo Fattorini & Marzia Marcheselli & Caterina Pisani & Luca Pratelli
- 1464-1474 A semiparametric isotonic regression model for skewed distributions with application to DNA–RNA–protein analysis
by Chenguang Wang & Ao Yuan & Leslie Cope & Jing Qin
- 1475-1488 Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes
by Baojiang Chen & Ao Yuan & Jing Qin
- 1489-1502 Another look at regression analysis using ranked set samples with application to an osteoporosis study
by Nasrin Faraji & Mohammad Jafari Jozani & Nader Nematollahi
- 1503-1514 Estimating mean potential outcome under adaptive treatment length strategies in continuous time
by Hao Sun & Ashkan Ertefaie & Brent A. Johnson
- 1515-1529 Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics
by Jiayin Zheng & Yingye Zheng & Li Hsu
- 1530-1541 A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
by Jonathan Fintzi & Jon Wakefield & Vladimir N. Minin
- 1542-1554 Multidimensional molecular measurements–environment interaction analysis for disease outcomes
by Yaqing Xu & Mengyun Wu & Shuangge Ma
- 1555-1565 Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model
by Hao Sun & Emily Berg & Zhengyuan Zhu
- 1566-1578 Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery
by Qiong Wu & Xiaoqi Huang & Adam J. Culbreth & James A. Waltz & L. Elliot Hong & Shuo Chen
- 1579-1591 Hierarchical cancer heterogeneity analysis based on histopathological imaging features
by Mingyang Ren & Qingzhao Zhang & Sanguo Zhang & Tingyan Zhong & Jian Huang & Shuangge Ma
- 1592-1603 Simultaneous feature selection and outlier detection with optimality guarantees
by Luca Insolia & Ana Kenney & Francesca Chiaromonte & Giovanni Felici
- 1604-1613 Reducing subspace models for large‐scale covariance regression
by Alexander M. Franks
- 1614-1625 Joint association and classification analysis of multi‐view data
by Yunfeng Zhang & Irina Gaynanova
- 1626-1638 Sufficient dimension reduction for populations with structured heterogeneity
by Jared D. Huling & Menggang Yu
- 1639-1650 Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio
by Bo Zhang & Siyu Heng & Emily J. MacKay & Ting Ye
- 1651-1661 Flexible use of copula‐type model for dose‐finding in drug combination clinical trials
by Koichi Hashizume & Jun Tshuchida & Takashi Sozu
- 1662-1673 Sample size estimation for cancer randomized trials in the presence of heterogeneous populations
by Derek Dinart & Carine Bellera & Virginie Rondeau
- 1674-1685 Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort
by Sarah C. Lotspeich & Bryan E. Shepherd & Gustavo G. C. Amorim & Pamela A. Shaw & Ran Tao
- 1686-1698 Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study
by Jiyuan Hu & Chan Wang & Martin J. Blaser & Huilin Li
- 1699-1713 Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization
by Sheng Wang & Hyunseung Kang
- 1714-1715 Fundamentals of Causal Inference With R. Babette A. Brumback. 2021. New York: Chapman and Hall/CRC Press. 2021. https://doi.org/10.1201/9781003146674
by An‐Shun Tai & Sheng‐Hsuan Lin
- 1715-1716 Assessing COVID‐19 and other pandemics and epidemics using computational modelling and data analysis Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari, and Francesco Flammini, Switzerland: Springer Nature Switzerland AG. 2022. https://doi.org/10.1007/978-3-030-79753-9
by Yen‐Chen Anne Feng
- 1716-1717 Statistical issues in drug development, third edition. Stephen S. Senn New Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7
by Jason C. Hsu
September 2022, Volume 78, Issue 3
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