Papers to Appear
Cover image: Diseases can be interconnected. The study by Hao Mei, Ruofan Jia, Guanzhong Qiao, Zhenqiu Lin, and Shuangge Ma, in the article “Human disease clinical treatment network for the elderly: Analysis of the Medicare inpatient length of stay and readmission data,” uniquely examines disease interconnections from A clinical treatment perspective. Medicare data is analyzed. In this plot, a node represents a Clinical Classifications Software (CCS) defined disease. Two nodes are connected with an edge if their length of stay and/or readmission are correlated. The size of a node is proportional to its importance in this disease network. Different colors correspond to different disease groups, which are composed of diseases tightly interconnected. Overall, this figure and study can advance our understanding of disease interconnections.
Report of the Editors - 2022
Biometric Methodology
Discussion Paper
Adaptive enrichment designs with a continuous biomarker
Nigel Stallard
Discussion
Rachael V. Phillips and Mark J. van der Laan
Discussion
James M. S. Wason
Discussion
Christopher Jennison
Discussion
Nancy Flournoy and Sergey Tarima
Rejoinder
Nigel Stallard
Covariate adjustment in continuous biomarker assessment
Ziyi Li, Yijian Huang, Dattatraya Patil, and Martin G. Sanda
Elastic priors to dynamically borrow information from historical data in clinical trials
Liyun Jiang, Lei Nie, and Ying Yuan
On restricted mean time in favor of treatment
Lu Mao
Dynamic logistic state-space prediction model for clinical decision making
Jiakun Jiang, Wei Yang, Erin M. Schnellinger, Stephen E. Kimmel, and Wensheng Guo
A novel statistical test for treatment differences in clinical trials using a response adaptive forward looking Gittins Index Rule
Helen Yvette Barnett, Sofia S. Villar, Helena Geys, and Thomas Jaki
Sample size considerations for stepped wedge designs with subclusters
Kendra Davis-Plourde, Monica Taljaard, and Fan Li
Functional additive models for optimizing individualized treatment rules
Hyung Park, Eva Petkova, Thaddeus Tarpey, and R. Todd Ogden
Estimation of separable direct and indirect effects in continuous time
Torben Martinussen and Mats Julius Stensrud
Non-iterative adjustment to regression estimators with population-based auxiliary information for semiparametric models
Fei Gao and K. C. G. Chan
Bayesian non-parametric quantile process regression and estimation of marginal quantile effects
Steven G. Xu and Brian J. Reich
Accelerated failure time modeling via nonparametric mixtures
Byungtae Seo and Sangwook Kang
Jackknife model averaging for high-dimensional quantile regression
Miaomiao Wang, Xinyu Zhang, Alan T. K. Wan, Kang You, and Guohua Zou
Risk prediction with imperfect survival outcome information from electronic health records
Jue Hou, Stephanie F. Chan, Xuan Wang, and Tianxi Cai
CASANOVA: Permutation inference in factorial survival designs
Marc Ditzhaus, Jon Genuneit, Arnold Janssen, and Markus Pauly
A matching procedure for sequential experiments that iteratively learns which covariates improve power
Adam Kapelner and Abba Krieger
SMIM: a unified framework of survival sensitivity analysis using multiple imputation and Martingale
Shu Yang, Yilong Zhang, Guanghan Frank Liu, and Qian Guan
Logistic regression analysis of two-phase studies using generalized method of moments
Prosenjit Kundu and Nilanjan Chatterjee
Instrumental variable estimation of complier causal treatment effect with interval-censored data
Shuwei Li and Limin Peng
Integrating sample similarities into latent class analysis: A tree-structured shrinkage approach
Mengbing Li, Daniel E. Park, Maliha Aziz, Cindy M. Liu, Lance B. Price, and Zhenke Wu
Latent group detection in functional partially linear regression models
Wu Wang, Ying Sun, and Huixia Judy Wang
Variable selection in nonlinear function-on-scalar regression
Rahul Ghosal and Arnab Maity
Spectra in Low-Rank Localized Layers (SpeLLL) for interpretable time-frequency analysis
Marie Tuft, Martica H. Hall, and Robert T. Krafty
Modelling publication bias and p-hacking
Jonas Moss and Riccardo De Bin
Generalized case-control sampling under generalized linear models
Jacob M. Maronge, Ran Tao, Jonathan S. Schildcrout, and Paul J. Rathouz
De-biased Lasso for generalized linear models with a diverging number of covariates
Lu Xia, Bin Nan, and Yi Li
Biometric Practice
Accounting for post-randomization variables in meta-analysis: A joint meta-regression approach
Qinshu Lian, Jing Zhang, James S. Hodges, Yong Chen, and Haitao Chu
Interim monitoring in sequential multiple assignment randomized trials
Liwen Wu, Junyao Wang, and Abdus S. Wahed
Inference in response-adaptive clinical trials when the enrolled population varies over time
Massimiliano Russo, Steffen Ventz, Victoria Xin Wang, and Lorenzo Trippa
Improving efficiency of inference in clinical trials with external control data
Xinyu Li, Wang Miao, Fang Lu, and Xiao-Hua Zhou
Human disease clinical treatment network for the elderly: Analysis of the Medicare inpatient length of stay and readmission data
Hao Mei, Ruofan Jia, Guanzhong Qiao, Zhenqiu Lin, and Shuangge Ma
A linear mixed model to estimate COVID-19-induced excess mortality
Johan Verbeeck, Christel Faes, Thomas Neyens, Niel Hens, Geert Verbeke, Patrick Deboosere, and Geert Molenberghs
An individual level infectious disease model in the presence of uncertainty from multiple, imperfect diagnostic tests
Caitlin Ward, Grant D. Brown, and Jacob J. Oleson
A smoothed corrected score approach for proportional hazards model with misclassified discretized covariates induced by error-contaminated continuous time-dependent exposure
Xiao Song, Edward C. Chao, and Ching-Yun Wang
Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs
Daniel Mork and Ander Wilson
Bayesian multiple index models for environmental mixtures
Glen McGee, Ander Wilson, Thomas F. Webster, and Brent A. Coull
Sensitivity analyses informed by tests for bias in observational studies
Paul R. Rosenbaum
Evaluating the association between latent classes and competing risks outcomes with multi-phenotype data
Teng Fei, John Hanfelt, and Limin Peng
Causal inference with outcomes truncated by death in multiarm studies
Shanshan Luo, Wei Li, and Yangbo He
Reader Reaction
Reader Reaction to "Outcome-adaptive lasso: variable selection for causal inference" by Shortreed and Ertefaie (2017)
Ismaila Balde, Yi Yang, and Genevieve Lefebvre
Rejoinder
Jeremiah Jones, Ashkan Ertefaie, and Susan M. Shortreed
Book Reviews
Gene Expression Data Analysis: A Statistical and Machine Learning Perspective (Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita, and Pankaj Barah)
Reviewed by Amrita Chattopadhyay
Confidence Intervals for Discrete Data in Clinical Research (Vivek Pradhan, Ashis Gangopadhyay, Sandeep M. Menon, Cynthia Basu, and Tathagata Banerjee)
Reviewed by Naitee Ting
The Effect: An Introduction to Research Design and Causality (Nick Huntington-Klein)
Reviewed by Hung-Ching Chang and Michael T. Gorczyca
Papers to appear in future issues of Biometrics
A novel Bayesian functional spatial partitioning method with application to prostate cancer lesion detection using MRI
Maria Masotti, Lin Zhang, Ethan Leng, Greg J. Metzger, and Joseph S. Koopmeiners
Semiparametric additive time-varying coefficients model for longitudinal data with censored time origin
Yanqing Sun, Qiong Shou, Peter B. Gilbert, Fei Heng, and Xiyuan Qian
Testing for heterogeneity in the utility of a surrogate marker
Layla Parast, Tianxi Cai, and Lu Tian
Selective prediction-set models with coverage rate guarantees
Jean Feng, Arjun Sondhi, Jessica Perry, and Noah Simon
Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data
Shu Jiang, Jiguo Cao, Bernard Rosner, and Graham A. Colditz
Estimation of the odds ratio in a proportional odds model with censored time-lagged outcome in a randomized clinical trial
Anastasios A. Tsiatis, Marie Davidian, and Shannon T. Holloway
Variable selection in regression-based estimation of dynamic treatment regimes
Zeyu Bian, Erica E.M. Moodie, Susan M. Shortreed, and Sahir Bhatnagar
Assessing intervention effects in a randomized trial within a social network
Shaina J. Alexandria, Michael G. Hudgens, and Allison E. Aiello
Improving trial generalizability using observational studies
Dasom Lee, Shu Yang, Lin Dong, Xiaofei Wang, Donglin Zeng, and Jianwen Cai
A formal causal interpretation of the case-crossover design
Zach Shahn, Miguel A. Hernan, and James M. Robins
Discussion on "A formal causal interpretation of the case-crossover design"
Per Kragh Andersen and Torben Martinussen
Discussion on "A formal causal interpretation of the case-crossover design"
Ruth M. Pfeiffer and Mitchell H. Gail
Discussion on "A formal causal interpretation of the case-crossover design"
Thomas Lumley
Rejoinder to Discussions on "A formal causal interpretation of the case-crossover design"
Zach Shahn, Miguel A. Hernan, and James M. Robins
Estimating cell type composition using isoform expression one gene at a time
Hillary M. Heiling, Douglas R. Wilson, Naim U. Rashid, Wei Sun, and Joseph G. Ibrahim
Design and analysis of two-phase studies with multivariate longitudinal data
Chiara Di Gravio, Ran Tao, and Jonathan S. Schildcrout
Ultra-high dimensional variable selection for doubly robust causal inference
Dingke Tang, Dehan Kong, Wenliang Pan, and Linbo Wang
Bayesian inference for stationary points in Gaussian process regression models for event-related potentials analysis
Cheng-Han Yu, Meng Li, Colin Noe, Simon Fischer-Baum, and Marina Vannucci
Inference for nonparanormal partial correlation via regularized rank-based nodewise regression
Haoyan Hu and Yumou Qiu
Neural networks for clustered and longitudinal data using mixed effects models
Francesca Mandel, Riddhi Pratim Ghosh, and Ian Barnett
Semiparametric count data regression for self-reported mental health
Daniel R. Kowal and Bohan Wu
A repeated measures approach to pooled and calibrated biomarker data
Abigail Sloan, Chao Cheng, Bernard Rosner, Regina G. Ziegler, Stephanie A. Smith-Warner, and Molin Wang
Bayesian nonparametric analysis of restricted mean survival time
Chenyang Zhang and Guosheng Yin
Generalized network structured models with mixed responses subject to measurement error and misclassification
Qihuang Zhang and Yun Grace Yi
Leveraging a surrogate outcome to improve inference on a partially missing target outcome
Zachary R. McCaw, Sheila M. Gaynor, Ryan Sun, and Xihong Lin
Screening methods for linear errors-in-variables models in high dimensions
Linh H. Nghiem, Francis K.C. Hui, Samuel Muller, and A.H. Welsh
Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data
Laura D'Angelo, Antonio Canale, Zhaoxia Yu, and Michele Guindani
A joint fairness model with applications to risk predictions for under-represented populations
Hyungrok Do, Shinjini Nandi, Preston Putzel, Padhraic Smyth, and Judy Zhong
Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions
Cheng-Han Yu, Raquel Prado, Hernando Ombao, and Daniel Rowe
Multi-source single-cell data integration by MAW Barycenter for Gaussian mixture models
Lin Lin, Wei Shi, Jianbo Ye, and Jia Li
Estimated quadratic inference function for correlated failure time data
Feifei Yan, Yanyan Liu, Jianwen Cai, and Haibo Zhou
The Generalized Fisher’s Combination and accurate p-value calculation under dependence
Hong Zhang and Zheyang Wu
Joint gene network construction by single-cell RNA sequencing data
Meichen Dong, Yiping He, Yuchao Jiang, and Fei Zou
Inference for set-based effects in genetic association studies with interval-censored outcomes
Ryan Sun, Liang Zhu, Yimei Li, Yutaka Yasui, and Leslie Robison
Bayes optimal informer sets for early-stage drug discovery
Peng Yu, Spencer Ericksen, Anthony Gitter, and Michael A. Newton
Instrumental variable estimation of causal hazard ratio
Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt
Discussion on "Instrumental variable estimation of causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt
Brigham R. Frandsen
Discussion on "Instrumental variable estimation of causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt
Benjamin R. Baer, Robert L. Strawderman, and Ashkan Ertefaie
Discussion on "Instrumental variable estimation of causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt
A. James O’Malley, Pablo Martinez-Camblor, and Todd A. MacKenzie
Rejoinder to discussions on “Instrumental variable estimation of the causal hazard ratio”
Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt
Functional data analysis for longitudinal data with informative observation times
Caleb Weaver, Luo Xiao, and Wenbin Lu
A hierarchical model for analyzing multi-site individual-level disease surveillance data from multiple systems
Yuzi Zhang, Howard H. Chang, Qu Cheng, Philip A. Collender, Ting Li, Jinge He, and Justin V. Remais
Zero-inflated Poisson models with measurement error in response
Qihuang Zhang and Grace Y. Yi
Evaluating treatment effects in group sequential multivariate longitudinal studies with covariate adjustment
Neal O. Jeffries, James F. Troendle, and Nancy L. Geller
A time-heterogeneous D-vine copula model for unbalanced and unequally spaced longitudinal data
Md. Erfanul Hoque, Elif F. Acar, and Mahmoud Torabi
Bayesian interaction selection model for multi-modal neuroimaging data analysis
Yize Zhao, Ben Wu, and Jian Kang
Bayesian sample size determination using commensurate priors to leverage pre-experimental data
Haiyan Zheng, Thomas Jaki, and James M.S. Wason
Feature screening with latent responses
Congran Yu, Wenwen Guo, Xinyuan Song, and Hengjian Cui
Cross-trait prediction accuracy of summary statistics in genome-wide association studies
Bingxin Zhao, Fei Zou, and Hongtu Zhu
Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using non-targeted HPV strains
Lola Etievant, Joshua N. Sampson, and Mitchell H. Gail
Instrumented difference-in-differences
Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Jad Beyhum, Jean-Pierre Florens, and Ingrid Van Keilegom
Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Zhiqiang Tan
Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Hyunseung Kang
Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Karla Diaz-Ordaz
Rejoinder to Discussions on "Instrumented difference-in-differences"
Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small
Decomposition of variation of mixed variables by a latent mixed Gaussian copula model
Yutong Liu, Toni Darville, Xiaojing Zheng, and Quefeng Li
Continuous time-interaction processes for population size estimation, with an application to drug dealing in Italy
Linda Altieri, Alessio Farcomeni, and Danilo Alunni Fegatelli
Clustering high-dimensional data via feature selection
Tianqi Liu, Yu Lu, Biqing Zhu, and Hongyu Zhao
A general framework of nonparametric feature selection in high-dimensional data
Hang Yu, Yuanjia Wang, and Donglin Zeng
A note on familywise error rate for a primary and secondary endpoint
Michael A. Proschan and Dean A. Follmann
Nonparametric and semiparametric estimation with sequentially truncated survival data
Rebecca A. Betenksy, Jing Qian, and Jingyao Hou
Multi-kink quantile regression for longitudinal data with application to progesterone data analysis
Chuang Wan, Wei Zhong, Wenyang Zhang, and Changliang Zou
Nonparametric estimation of the causal effect of a stochastic threshold-based intervention
Lars van der Laan, Wenbo Zhang, and Peter B. Gilbert
Score test for missing at random or not under logistic missingness models
Hairu Wang, Zhiping Lu, and Yukun Liu
Domain selection and family-wise error rate for functional data: a unified framework
Konrad Abramowicz, Alessia Pini, Lina Schelin, Sara Sjostedt de Luna, Aymeric Stamm, and Simone Vantini
Robust approach to combining multiple markers to improve surrogacy
Xuan Wang, Layla Parast, Larry Han, Lu Tian, and Tianxi Cai
Model-based clustering of high-dimensional longitudinal data via regularization
Luoying Yang and Tong Tong Wu
Robust Bayesian variable selection for gene-environment interactions
Jie Ren, Fei Zhou, Xiaoxi Li, Shuangge Ma, Yu Jiang, and Cen Wu
An alternative metric for evaluating the potential Patient benefit of response-adaptive randomization procedures
Jennifer Proper and Thomas A. Murray
Random projection ensemble classification with high-dimensional time series
Fuli Zhang and Kung-Sik Chan
Coherent modeling of longitudinal causal effects on binary outcomes
Linbo Wang, Xiang Meng, Thomas Richardson, and James Robins
A Bayesian model with application for adaptive platform trials having temporal changes
Chenguang Wang, Min Lin, Gary L. Rosner, and Guoxing Soon
A compound decision approach to covariance matrix estimation
Huiqin Xin and Sihai Dave Zhao
A cross-validation statistical framework for asymmetric data integration
Lam Tran, Kevin He, Di Wang, and Hui Jiang
A Bayesian platform trial design to simultaneously evaluate multiple drugs in multiple indications with mixed endpoints
Yujie Zhao, Rui (Sammi) Tang, Yeting Du, and Ying Yuan
Functional group bridge for simultaneous regression and support estimation
Zhengjia Wang, John Magnotti, Michael S. Beauchamp, and Meng Li
Exact-corrected confidence interval for risk difference in noninferiority binomial trials
Nour Hawila and Arthur Berg
An Eigenvalue ratio approach to inferring population structure from whole genome sequencing data
Yuyang Xu, Zhonghua Liu, and Jianfeng Yao
Power analysis for cluster randomized trials with continuous co-primary endpoints
Siyun Yang, Mirjam Moerbeek, Monica Taljaard, and Fan Li
Simplifying the estimation of diagnostic testing accuracy over time for high specificity tests in the absence of a gold standard
Clara Drew, Moses Badio, Dehkontee Dennis, Lisa Hensley, Elizabeth Higgs, Michael Sneller, Mosoka Fallah, and Cavan Reilly
A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES
Paul A. Parker and Scott H. Holan
Translocation detection from Hi-C data via scan statistics
Anthony Cheng, Disheng Mao, Yuping Zhang, Joseph Glaz, and Zhengqing Ouyang
Closed testing with Globaltest, with application in metabolomics
Ningning Xu, Aldo Solari, and Jelle J. Goeman
Robust functional principal component analysis via a functional pairwise spatial sign operator
Guangxing Wang, Sisheng Liu, Fang Han, and Chong-Zhi Di
Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population
Issa J. Dahabreh, Sarah E. Robertson, Lucia C. Petito, Miguel A. Hernan, and Jon A. Steingrimsson
Nonparametric inverse probability weighted estimators based on the highly adaptive lasso
Ashkan Ertefaie, Nima S. Hejazi, and Mark J. van der Laan
It's all relative: regression analysis with compositional predictors
Gen Li, Yan Li, and Kun Chen
Post-treatment confounding in causal mediation studies: A cutting-edge problem and a novel solution via sensitivity analysis
Guanglei Hong, Fan Yang, and Xu Qin
Optimal test procedures for multiple hypotheses controlling the familywise expected loss
Willi Maurer, Frank Bretz, and Xiaolei Xun
Discussion on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun
Yoav Benjamini, Ruth Heller, Abba Krieger, Saharon Rosset
Discussion on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun
Sudipto Banerjee
Discussion on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun
Lisa M. LaVange, Ethan M. Alt, and Joseph G. Ibrahim
Discussion on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun
Werner Brannath
Flexible copula model for integrating correlated multi-omics data from single-cell experiments
Zichen Ma, Shannon W. Davis, and Yen-Yi Ho
Semiparametric distributed lag quantile regression for modeling time-dependent exposure mixtures
Yuyan Wang, Akhgar Ghassabian, Bo Gu, Yelena Afnansyeva, Yiwei Li, Leonardo Trasande, and Mengling Liu
Structural cumulative survival models for estimation of treatment effects accounting for treatment switching in randomized experiments
Andrew Ying and Eric J. Tchetgen Tchetgen
Elastic analysis of irregularly or sparsely sampled curves
Lisa Steyer, Almond Stocker, and Sonja Greven
Automated analysis of low-field brain MRI in cerebral malaria
Danni Tu, Manu S. Goyal, Jordan D. Dworkin, Samuel Kampondeni, Lorenna Vidal, Eric Biondo-Savin, Sandeep Juvvadi, Prashant Raghavan, Jennifer Nicholas, Karen Chetcuti, Kelly Clark, Timothy Robert-Fitzgerald, Theodore D. Satterthwaite, Paul Yushkevich, Christos Davatzikos, Guray Erus, Nicholas J. Tustison, Douglas G. Postels, Terrie E. Taylor, Dylan S. Small, and Russell T. Shinohara
Subset selection for linear mixed models
Daniel R. Kowal
General independent censoring in event-driven trials with staggered entry
Jasmin Ruhl, Jan Beyersmann, and Sarah Friedrich
A general framework for subgroup detection via one-step value difference estimation
Dana Johnson, Wenbin Lu, and Marie Davidian
The central role of the identifying assumption in population size estimation
Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
John Whitehead
Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
Li-Chun Zhang
Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
Ruth King, Rachel McCrea, and Antony Overstall
Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
Daniel Manrique-Vallier
Multi-wave validation sampling for error-prone electronic health records
Bryan E. Shepherd, Kyunghee Han, Tong Chen, Aihua Bian, Shannon Pugh, Stephany N. Duda, Thomas Lumley, William J. Heerman, and Pamela A. Shaw
Nonparametric inference of general while-alive estimands for recurrent events
Lu Mao
Dimension reduction for integrative survival analysis
Aaron J. Molstad and Rohit K. Patra
Pair-switching rerandomization
Ke Zhu and Hanzhong Liu
Infinite hidden Markov models for multiple multivariate time series with missing data
Lauren Hoskovec, Matthew D. Koslovsky, Kirsten Koehler, Nicholas Good, Jennifer L. Peel, John Volckens, and Ander Wilson
Concordance indices with left-truncated and right-censored data
Nicholas Hartman, Sehee Kim, Kevin He, and John D. Kalbfleisch
Solutions for surrogacy validation with longitudinal outcomes for a gene therapy
Emily K. Roberts, Michael R. Elliott, and Jeremy M. G. Taylor
Prioritizing candidate peptides for cancer vaccines through predicting peptide presentation by HLA-I proteins
Laura Y. Zhou, Fei Zou, and Wei Sun
Grouped generalized estimating equations for longitudinal data analysis
Tsubasa Ito and Shonosuke Sugasawa
A high-dimensional mediation model for a neuroimaging mediator: integrating clinical, neuroimaging, and neurocognitive data to mitigate late effects in pediatric cancer
Xiaoqing Jade Wang, Yimei Li, Wilburn E. Reddick, Heather M. Conklin, John O. Glass, Arzu Onar-Thomas, Amar Gajjar, Cheng Cheng, and Zhao-Hua Lu
Double reduction estimation and equilibrium tests in natural autopolyploid populations
David Gerard
A robust approach for electronic health record-based case-control studies with contaminated case pools
Guorong Dai, Yanyuan Ma, Jill Schnall, Jinbo Chen, and Raymond J. Carroll
Centre-augmented $\ell_2$-type regularization for subgroup learning
Ling Zhou, Ye He, Yingcun Xia, and Huazhen Lin
Quantile regression for nonignorable missing data with its application of analyzing electronic medical records
Aiai Yu, Yujie Zhong, Xingdong Feng, and Ying Wei
A Bayesian multivariate mixture model for high throughput spatial transcriptomics
Carter Allen, Yuzhou Chang, Brian Neelon, Won Chang, Hang J. Kim, Zihai Li, Qin Ma, and Dongjun Chung
Joint semiparametric models for case-cohort designs
Weibin Zhong and Guoqing Diao
Tractable Bayes of skew-elliptical link models for correlated binary data
Zhongwei Zhang, Reinaldo B. Arellano-Valle, Marc G. Genton, and Raphael Huser
Optimal multiple testing and design in clinical trials
Ruth Heller, Abba Krieger, and Saharon Rosset
A general modelling framework for open wildlife populations based on the Polya Tree prior
Alex Diana, Eleni Matechou, Jim Griffin, Todd Arnold, Simone Tenan, and Stefano Volponi
A novel penalized inverse-variance weighted estimator for Mendelian randomization with applications to COVID-19 outcomes
Siqi Xu, Peng Wang, Wing Kam Fung, and Zhonghua Liu
Testing weak nulls in matched observational studies
Colin B. Fogarty
Neural network on interval censored data with application to the prediction of Alzheimer’s Disease
Tao Sun and Ying Ding
A latent state space model for estimating brain dynamics from electroencephalogram (EEG) data
Qinxia Wang, Ji Loh, Xiaofu He, and Yuanjia Wang
Mendelian randomization mixed-scale treatment effect robust identification and estimation for causal inference
Zhonghua Liu, Ting Ye, Baoluo Sun, Mary Schooling, and Eric Tchetgen Tchetgen
Integrative Bayesian models using post-selective inference: a case study in radiogenomics
Snigdha Panigrahi, Shariq Mohammed, Arvind Rao, and Veerabhadran Baladandayuthapani
Bayesian treatment screening and selection using subgroup-specific utilities of response and toxicity
Juhee Lee, Peter F. Thall, and Pavlos Msaouel
Delivering spatially comparable inference on the risks of multiple severities of respiratory disease from spatially misaligned disease count data
Duncan Lee and Craig Anderson
Generalized propensity score approach to causal inference with spatial interference
A. Giffin, B. J. Reich, S. Yang, and A. G. Rappold
Bayesian regression analysis of skewed tensor responses
Inkoo Lee, Debajyoti Sinha, Qing Mai, Xin Zhang, and Dipankar Bandyopadhyay
Functional data analysis with covariate-dependent mean and covariance structures
Chenlin Zhang, Huazhen Lin, Li Liu, Jin Liu, and Yi Li
Multidimensional adaptive P-splines with application to Neurons’ activity studies
Maria Xose Rodriguez-Alvarez, Maria Durban, Paul H. C. Eilers, Dae-Jin Lee, and Francisco Gonzalez
Simultaneous cluster structure learning and estimation of heterogeneous graphs for matrix-variate fMRI data
Dong Liu, Changwei Zhao, Yong He, Lei Liu, Ying Guo, and Xinsheng Zhang
Estimating tree-based dynamic treatment regimes using observational data with restricted treatment sequences
Nina Zhou, Lu Wang, and Daniel Almirall
Joint inference for competing risks data using multiple endpoints
Jiyang Wen, Chen Hu, and Mei-Cheng Wang
Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer
Priyam Das, Christine B. Peterson, Yang Ni, Alexandre Reuben, Jiexin Zhang, Jianjun Zhang, Kim-Anh Do, and Veerabhadran Baladandayuthapani
Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high-throughput experiments
Feipeng Zhang and Qunhua Li
Maximum likelihood estimation in the additive hazards model
Chengyuan Lu, Jelle Goeman, and Hein Putter
Frequentist model averaging for undirected Gaussian graphical models
Huihang Liu and Xinyu Zhang
Misdiagnosis-related harm quantification through mixture models and harm measures
Yuxin Zhu, Zheyu Wang, and David Newman-Toker
Adaptive Bayesian sum of trees model for covariate dependent spectral analysis
Yakun Wang, Zeda Li, and Scott A. Bruce
Penalized estimation of frailty-based illness-death models for semi-competing risks
Harrison T. Reeder, Junwei Lu, and Sebastien J. Haneuse
Change-plane analysis for subgroup detection with a continuous treatment
Peng Jin, Wenbin Lu, Yu Chen, and Mengling Liu
Concave likelihood-based regression with finite-support response variables
K. O. Ekvall and M. Bottai
Boosting distributional copula regression
Nicolai Hans, Nadja Klein, Florian Faschingbauer, Michael Schneider, and Andreas Mayr
Associating somatic mutation with clinical outcomes through kernel regression and optimal transport
Paul Little, Li Hsu, and Wei Sun
Asynchronous functional linear regression models for longitudinal data in reproducing kernel Hilbert space
Ting Li, Huichen Zhu, Tengfei Li, and Hongtu Zhu
Comparing COVID-19 incidences longitudinally per economic sector against the background of preventive measures and vaccination
Florian Stijven, Johan Verbeeck, and Geert Molenberghs
On generalized latent factor modeling and inference for high-dimensional binomial data
Ting Fung Ma, Fangfang Wang, and Jun Zhu
Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation
Patrick LeBlanc and Li Ma
Spatial dependence modeling of latent susceptibility and time to joint damage in psoriatic arthritis
Fangya Mao and Richard J. Cook
Pattern-based clustering of daily weigh-in trajectories using dynamic time warping
Samantha Bothwell, Alex Kaizer, Ryan Peterson, Danielle Ostendorf, Victoria Catenacci, and Julia Wrobel
Combining parametric and nonparametric models to estimate treatment effects in observational studies
Daniel Daly-Grafstein and Paul Gustafson
Identifying brain hierarchical structures associated with Alzheimer’s disease
Yi Zhao, Bingkai Wang, Chin-Fu Liu, Andreia V. Faria, Michael I. Miller, Brian S. Caffo, and Xi Luo
How well can Fine Balance work for covariate balancing
Ruoqi Yu
Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneity
Yu-Jen Cheng, Yen-Chun Liu, Chang-Yu Tsai, and Chiung-Yu Huang
Contrasting principal stratum and hypothetical strategy estimands in multi-period crossover trials with incomplete data
John N.S. Matthews, Sofia Bazakou, Robin Henderson, and Linda D. Sharples
CEDAR: Communication Efficient Distributed Analysis for Regressions
C. Chang, Z. Bu, and Q. Long
Statistical inference and power analysis for direct and spillover effects in two-stage randomized experiments
Zhichao Jiang, Kosuke Imai, and Anup Malani
Estimating the area under the ROC curve when transporting a prediction model to a target population
Bing Li, Constantine Gatsonis, Issa J. Dahabreh, and Jon A. Steingrimsson
Latent multinomial models for extended batch mark data
Wei Zhang, Simon Bonner, and Rachel McCrea
A sensitivity analysis approach for the causal hazard ratio in randomized and observational studies
Rachel Axelrod and Daniel Nevo
Marginal proportional hazards models for clustered interval-censored data with time-dependent covariates
Kaitlyn Cook, Wenbin Lu, and Rui Wang
Efficient targeted learning of heterogeneous treatment effects for multiple subgroups
Waverly Wei, Maya Petersen, Mark J. van der Laan, Zeyu Zheng, Chong Wu, and Jingshen Wang
Improved semiparametric estimation of the proportional rate model with recurrent event data
Ming-Yueh Huang and Chiung-Yu Huang
Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates
David Todem, Wei-Wen Hsu, and KyungMann Kim
Identifying alert concentrations using a model-based bootstrap approach
Kathrin Möllenhoff, Kirsten Schorning, and Franziska Kappenberg
Hospital profiling using Bayesian decision theory
Johannes Hengelbrock, Johannes Rauh, Jona Cederbaum, Maximilian Kähler, and Michael Höhle
A semiparametric joint model for cluster size and subunit-specific interval-censored outcomes
Chun Yin Lee, Kin Yau Wong, K. F. Lam, and Dipankar Bandyopadhyay
Non-parametric estimation of the age-at-onset distribution from a cross-sectional sample
Soutrik Mandal, Jing Qin, and Ruth M. Pfeiffer
An information ratio based goodness-of-fit test for copula models on censored data
Tao Sun, Yu Cheng, and Ying Ding
Assessing exposure-time treatment effect heterogeneity in stepped wedge cluster randomized trials
Lara Maleyeff, Fan Li, Sebastien Haneuse, and Rui Wang
Design considerations for two stage enrichment clinical trials
Rosamarie Frieri, William F. Rosenberger, Nancy Flournoy, and Zhantao Lin
Bayesian sample size calculations for comparing two strategies in SMART studies
Armando Turchetta, Erica E. M. Moodie, David A. Stephens, and Sylvie D. Lambert
Efficient and robust approaches for analysis of SMARTs: illustration using the ADAPT-R trial
Lina Montoya, Michael Kosorok, Elvin Geng, Joshua Schwab, Thomas Odeny, and Maya Petersen
Inference for the dimension of a regression relationship using pseudo-covariates
Shih-Hao Huang, Kerby Shedden, and Hsin-wen Chang
Model uncertainty quantification in Cox regression
Gonzalo Garcia-Donato, Stefano Cabras, and Maria Eugenia Castellanos
Age-related model for estimating the symptomatic and asymptomatic transmissibility of COVID-19 patients
Jianbin Tan, Ye Shen, Yang Ge, Leonardo Martinez, and Hui Huang
Tensor response quantile regression with neuroimaging data
Bo Wei, Limin Peng, Ying Guo, Amita Manatunga, and Jennifer Stevens
Correcting delayed reporting of COVID-19 using the Generalized-Dirichlet-Multinomial method
Oliver Stoner, Alba Halliday, and Theo Economou
Two-level Bayesian interaction analysis for survival data incorporating pathway information
Xing Qin, Shuangge Ma, and Mengyun Wu
Fast Bayesian inference for large occupancy datasets
Alex Diana, Emily B. Dennis, Eleni Matechou, and Byron J.T. Morgan
Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries
Ao Huang, Kosuke Morikawa, Tim Friede, and Satoshi Hattori
Consistent estimation of the number of communities via regularized network embedding
Mingyang Ren, Sanguo Zhang, and Junhui Wang
Spatially adaptive calibrations of AirBox PM2.5 data
Hsin-Cheng Huang
Additive subdistribution hazards regression for competing risks data in case-cohort studies
Adane F. Wogu, Haolin Li, Shanshan Zhao, Hazel B. Nichols, and Jianwen Cai
Stabilized direct learning for efficient estimation of individualized treatment rules
Kushal S. Shah, Haoda Fu, and Michael R. Kosorok
Bayesian design of multi-regional clinical trials with time-to-event endpoints
Nathan W. Bean, Joseph G. Ibrahim, and Matthew A. Psioda
Relative contrast estimation and inference for treatment recommendation
Muxuan Liang and Menggang Yu
Competition-based control of the false discovery proportion
Dong Luo, Arya Ebadi, Kristen Emery, Yilun He, William Stafford Noble, and Uri Keich
Optimal sampling for positive only electronic health record data
Seong-ho Lee, Yanyuan Ma, Ying Wei, and Jinbo Chen
Combining observational and experimental datasets using shrinkage estimators
Evan T. R. Rosenman, Guillaume Basse, Art B. Owen, and Mike Baiocchi
Bayesian inference for a principal stratum estimand on recurrent events truncated by death
Tianmeng Lyu, Bjorn Bornkamp, Guenther Mueller-Velten, and Heinz Schmidli
Entropy balancing for causal generalization with target sample summary information
Rui Chen, Guanhua Chen, and Menggang Yu
A seasonality-adjusted sequential test for vaccine safety surveillance
Rex Shen, Keran Moll, Ying Lu, and Lu Tian
Estimating population size: the importance of model and estimator choice
Matthew R. Schofield, Richard J. Barker, William A. Link, and Heloise Pavanato
Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems
Xinyi Lu, Mevin B. Hooten, Ann M. Raiho, David K. Swanson, Carl A. Roland, and Sarah E. Stehn
Bayesian nonparametric adjustment of confounding
Chanmin Kim, Maucicio Tec, and Corwin Zigler
Nonlinear function-on-scalar regression via functional universal approximation
Ruiyan Luo and Xin Qi
Homogeneity tests of covariance for high-dimensional functional data with applications to event segmentation
Ping-Shou Zhong
DROID: Dose-ranging approach to optimizing dose in oncology drug development
Beibei Guo and Ying Yuan
Analyzing data in complicated 3D domains: smoothing, semiparametric regression and functional principal component analysis
Eleonora Arnone, Luca Negri, Ferruccio Panzica, and Laura M. Sangalli
Improved inference for doubly robust estimators of heterogeneous treatment effects
Heejun Shin and Joseph Antonelli
Spatial modeling of M. tuberculosis transmission with dyadic genetic relatedness data
Joshua L. Warren, Melanie H. Chitwood, Benjamin Sobkowiak, Caroline Colijn, and Ted Cohen
A nonparametric test of group distributional differences for hierarchically-clustered functional data
Alexander S. Long, Brian J. Reich, Ana-Maria Staicu, and John Meitzen
Individualized causal discovery with latent trajectory embedded Bayesian networks
Fangting Zhou, Kejun He, and Yang Ni
Finding influential subjects in a network using a causal framework
Youjin Lee, Ashley Buchanan, Elizabeth Ogburn, Samuel R. Friedman, M. Elizabeth Halloran, Natallia V. Katenka, Jing Wu, and Georgios Nikolopoulos
Modelling Covid-19 contact-tracing using the ratio regression capture-recapture approach
D. Böhning, R. Lerdsuwansri, and P. Sangnawakij
Latent deformation models for multivariate functional data and time warping separability
Cody Carroll and Hans-Georg Mueller
Covariate-adjusted response-adaptive designs based on semiparametric approaches
Hai Zhu and Hongjian Zhu
Efficient and flexible estimation of natural direct and indirect effects under intermediate confounding and monotonicity constraints
Kara E. Rudolph, Nicholas Williams, and Ivan Diaz
Causal mediation analysis using image mediator bounded in irregular domain with an application to breast cancer
Shu Jiang and Graham A. Colditz
FDR controlled multiple testing for union null hypotheses: A knockoff-based approach
Ran Dai and Cheng Zheng
Nonparametric failure time: time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures
R.A. Sparapani, B.R. Logan, M.J. Maiers, P.W. Laud, and R.E. McCulloch
Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation
Helene C. W. Rytgaard, Frank Eriksson, and Mark J. van der Laan
A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data
Matthew D. Koslovsky
A synthetic data integration framework to leverage external summary-level information from heterogeneous populations
Tian Gu, Jeremy M.G. Taylor, and Bhramar Mukherjee
Interim monitoring of sequential multiple assignment randomized trials using partial information
Cole Manschot, Eric Laber, and Marie Davidian
Longitudinal incremental propensity score interventions for limited resource settings
Aaron Sarvet, Kerollos N. Wanis, Jessica Young, Roberto Hernandez-Alejandro, and Mats J. Stensrud
Information criteria for detecting change-points in the Cox proportional hazards model
Ryoto Ozaki, and Yoshiyuki Ninomiya
An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis
Chixiang Chen, Ming Wang, and Shuo Chen
Supervised convex clustering
Minjie Wang, Tianyi Yao, and Genevera I. Allen
Detecting the spatial clustering of exposure-response relationships with estimation error: a novel spatial scan statistic
Wei Wang, Sheng Li, Tao Zhang, Fei Yin, and Yue Ma
Asynchronous and error-prone longitudinal data analysis via functional calibration
Xinyue Chang, Yehua Li, and Yi Li
Combining mixed effects hidden Markov models with latent alternating recurrent event processes to model diurnal active-rest cycles
Benny Ren and Ian Barnett
Identifying and estimating effects of sustained interventions under parallel trends assumptions
Audrey Renson, Michael G. Hudgens, Alexander P. Keil, Paul N. Zivich, and Allison E. Aiello
Conditional cross-design synthesis estimators for generalizability in Medicaid
Irina Degtiar, Tim Layton, Jacob Wallace, and Sherri Rose
Estimating optimal individualized treatment rules with multistate processes
Giorgos Bakoyannis
Sparse Bayesian modeling of hierarchical independent component analysis: reliable estimation of individual differences in brain networks
Joshua Lukemire, Giuseppe Pagnoni, and Ying Guo
Sparse estimation in semi-parametric finite mixture of varying coefficient regression models
Abbas Khalili, Farhad Shokoohi, Masoud Asgharian, and Shili Lin
Imputation-based Q-learning for optimizing dynamic treatment regimes with right-censored survival outcome
Lingyun Lyu, Yu Cheng, and Abdus S. Wahed
Bi-level structured functional analysis for genome-wide association studies
Mengyun Wu, Fan Wang, Yeheng Ge, Shuangge Ma, and Yang Li
On interquantile smoothness of censored quantile regression with induced smoothing (CQRIS)
Zexi Cai and Tony Sit
An accelerated failure time regression model for illness-death data: A frailty approach
Lea Kats and Malka Gorfine
A case study of glucose levels during sleep using multilevel fast function on scalar regression inference
Renat Sergazinov, Andrew Leroux, Erjia Cui, Ciprian Crainiceanu, R. Nisha Aurora, Naresh M. Punjabi, and Irina Gaynanova
Pathological imaging-assisted cancer gene-environment interaction analysis
Kuangnan Fang, Jingmao Li, Qingzhao Zhang, Yaqing Xu, and Shuangge Ma
Correcting for bias due to mismeasured exposure history in longitudinal studies with continuous outcomes
Jiachen Cai, Ning Zhang, Xin Zhou, Donna Spiegelman, and Molin Wang
Group variable selection for Cox model with interval-censored failure time data
Yuxiang Wu, Hui Zhao, and Jianguo Sun
Instability of inverse probability weighting methods and a remedy for non-ignorable missing data
Pengfei Li, Jing Qin, and Yukun Liu
Bayesian functional data analysis over dependent regions and its application for identification of differentially methylated regions
Suvo Chatterjee, Shrabanti Chowdhury, Duchwan Ryu, and Sanjib Basu
Hierarchical nuclear norm penalization for multi-view data integration
Sangyoon Yi, Raymond K. W. Wong, and Irina Gaynanova
Flexible joint modeling of mean and dispersion for the directional tuning of neuronal spike counts
Maria Alonso-Pena, Irene Gijbels, and Rosa M. Crujeiras
A double robust test for high-dimensional gene co-expression networks conditioning on clinical information
Maomao Ding, Ruosha Li, Jin Qin, and Jing Ning
Prior and posterior checking of implicit causal assumptions
Antonio R. Linero
Constructing time-invariant dynamic surveillance rules for optimal monitoring schedules
Xinyuan Dong, Yingye Zheng, Daniel W. Lin, Lisa Newcomb, and Ying-Qi Zhao
Dirichlet process mixture models for the analysis of repeated attempt designs
M.J. Daniels, M. Lee, and W. Feng
Conditional inference in cis-Mendelian randomization using weak genetic factors
Ashish Patel, Dipender Gill, Paul Newcombe, and Stephen Burgess
A stochastic block Ising model for multi-layer networks with inter-layer dependence
Jingnan Zhang, Chengye Li, and Junhui Wang
Dynamic enrichment of Bayesian small sample, sequential, multiple assignment randomized trial (snSMART) design using natural history data: A case study from Duchenne muscular dystrophy
Sidi Wang, Kelley M. Kidwell, and Satrajit Roychoudhury
Ensuring valid inference for Cox hazard ratios after variable selection
Kelly Van Lancker, Oliver Dukes, and Stijn Vansteelandt