Papers to Appear
Cover image: The figure depicts a result presented in the paper "Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records," by Young-Geun Choi, Lawrence P. Hanrahan, Derek Norton, and Ying-Qi Zhao, which aims to produce an interpretable disease map and detect localized outbreaks simultaneously. Each polygon represents an areal unit. The color fills represent the estimated areal-level baseline risks of disease (skyblue, low rate; green, moderate rate; red, high rate), which was assumed spatially smooth. The starred points indicate areal units in which the risk is strongly above or below the colored trend (black, above-trend; yellow, below-trend). The localized outbreaks from our model may enable comparative investigations at granular levels. Details can be found in the paper.
Report of the Editors - 2021
Biometric Methodology
Robust methods to correct for measurement error when evaluating a surrogate marker
Layla Parast, Tanya P. Garcia, Ross L. Prentice, and Raymond J. Carroll
Two robust tools for inference about causal effects with invalid instruments
Hyunseung Kang, Youjin Lee, T. Tony Cai, and Dylan S. Small
Identifying individual predictive factors for treatment efficacy
Ariel Alonso, Wim Van der Elst, Lizet Sanchez, Patricia Luaces, and Geert Molenberghs
Non-linear mediation analysis with high-dimensional mediators whose causal structure is unknown
Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys, and Stijn Vansteelandt
Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers
Yeonhee Park, Suyu Liu, Peter Thall, and Ying Yuan
A spatial Bayesian latent factor model for image-on-image regression
Cui Guo, Jian Kang, and Timothy D. Johnson
Assuming independence in spatial latent variable models: Consequences and implications of misspecification
Francis Hui, Nicole A. Hill, and Alan Welsh
Causal Inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties
Joseph Antonelli, Georgia Papadogeorgou, and Francesca Dominici
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models
Sean Yiu and Li Su
Obtaining optimal cutoff values for tree classifiers using multiple biomarkers
Yuxin Zhu and Mei-Cheng Wang
Two-stage penalized regression screening to detect biomarker-treatment interactions in randomized clinical trials
Jixiong Wang, Ashish Patel, James Wason, and Paul Newcombe
Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring
Fengting Yi, Niansheng Tang, and Jianguo Sun
Analysis of clustered interval-censored data using a class of semiparametric partly linear frailty transformation models
Chun Yin Lee, Kin Yau Wong, K. F. Lam, and Jinfeng Xu
Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case-control design
Yei EunShin, Ruth M. Pfeiffer, Barry I. Graubard, and Mitchell H. Gail
Restricted mean survival time as a function of restriction time
Yingchao Zhong and Douglas Earl Schaubel
New multivariate tests for assessing covariate balance in matched observational studies
Hao Chen and Dylan S. Small
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification
Lauren J. Beesley and Bhramar Mukherjee
Semiparametric imputation using conditional Gaussian mixture models under item nonresponse
Danhyang Lee and Jae Kwang Kim
Simultaneous confidence intervals for ranks with application to ranking institutions
Diaa Al Mohamad, Jelle Goeman, and Erik van Zwet
Density estimation for circular data observed with errors
Marco Di Marzio, Stefania Fensore, Agnese Panzera, and Charles Taylor
Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling
Yangqing Deng, Yinqiu He, Gongjun Xu, and Wei Pan
A latent capture history model for digital aerial surveys
D. L. Borchers, P. Nightingale, B. C. Stevenson, and R. M. Fewster
Modelling group movement with behavior switching in continuous time
Mu Niu, Fay Frost, Jordan Milner, Anna Skarin, and Paul G. Blackwell
Biometric Practice
Bayesian dose-regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics
Emma Gerard, Sarah Zohar, Hoai-Thu Thai, Christelle Lorenzato, Marie-Karelle Riviere, and Moreno Ursino
A non-parametric Bayesian model for estimating spectral densities of resting-state EEG twin data
Brian Hart, Michele Guindani, Stephen Malone, and Mark Fiecas
Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records
Young-Geun Choi, Lawrence P. Hanrahan, Derek Norton, and Ying-Qi Zhao
Estimating the optimal individualized treatment rule from a cost-effectiveness perspective
Yizhe Xu, Tom H. Greene, Adam P. Bress, Brian C. Sauer, Brandon K. Bellows, Yue Zhang, William S. Weintraub, Andrew E. Moran, and Jincheng Shen
A closed max-t test for multiple comparisons of areas under the ROC curve
Paul Blanche, Jean-Francois Dartigues, and Jeremie Riou
Generalized multi-SNP mediation intersection-union test
Wujuan Zhong, Toni Darville, Xiaojing Zheng, Jason Fine, and Yun Li
Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model
Gabriel Isheden, Kamila Czene, and Keith Humphreys
Power and sample size for observational studies of point exposure effects
Bonnie E. Shook-Sa and Michael G. Hudgens
Reader Reaction
Biased estimation with shared parameter models in the presence of competing dropout mechanisms
Edward F. Vonesh and Tom Greene
Rejoinder
Christos Thomadakis, Loukia Meligkotsidou, Nikos Pantazis, and Giota Touloumi
Book reviews
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Robert P. Haining and Guangquan Li)
Reviewed by Howard Chang
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chester Ismay and Albert Y. Kim)
Reviewed by Zachary Fusfeld
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond (Lyle D. Broemeling)
Reviewed by Marie Ozanne
Meta-Analysis: Methods for Health and Experimental Studies (Shahjahan Khan)
Reviewed by Tugba Akkaya-Hocagil
Omic Association Studies with R and Bioconductor (Juan R. González and Alejandro Cáceres)
Reviewed by Amber W. Wang
Papers to appear in future issues of Biometrics
Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach
Ying Sheng, Yifei Sun, Chiung-Yu Huang, and Mi-Ok Kim
A model for analysing clustered occurrence data
Wen-Han Hwang, Richard Huggins, and Jakub Stoklosa
Small-sample inference for cluster-based outcome-dependent sampling schemes in resource-limited settings: investigating low birthweight in Rwanda
Sara Sauer, Bethany Hedt-Gauthier, Claudia Rivera-Rodriguez, and Sebastien Haneuse
Gaussian graphical model-based heterogeneity analysis via penalized fusion
Mingyang Ren, Sanguo Zhang, Qingzhao Zhang, and Shuangge Ma
Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's disease
Cai Li, Luo Xiao, and Sheng Luo
Bayesian data fusion: probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data
Leah Comment, Brent Coull, Corwin M. Zigler, and Linda Valeri
Information-incorporated Gaussian graphical model for gene expression data
Huangdi Yi, Qingzhao Zhang, Cunjie Lin, and Shuangge Ma
Pursuing sources of heterogeneity in modeling clustered population
Yan Li, Chun Yu, Yize Zhao, Weixin Yao, Robert H. Aseltine, and Kun Chen
Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data
Jiabei Yang, Issa J. Dahabreh, and Jon A. Steingrimsson
A kernel regression model for panel count data with nonparametric covariate functions
Yang Wang and Zhangsheng Yu
EMBRACE: an EM-based bias reduction approach through Copas-model estimation for quantifying the evidence of selective publishing in network meta-analysis
Arielle K. Marks-Anglin, Chongliang Luo, Jin Piao, Mary Beth Connolly Gibbons, Christopher Schmid, Jing Ning, and Yong Chen
Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data
Lijiang Geng and Guanyu Hu
Geostatistical modeling of positive definite matrices: An application to diffusion tensor imaging
Zhou Lan, Brian Reich, Joseph Guinness, Dipankar Bandyopadhyay, Liangsuo Ma, and F. Gerard Moeller
The Tukey trend test: Multiplicity adjustment using multiple marginal models
Frank Schaarschmidt, Christian Ritz, and Ludwig Hothorn
Varying coefficient frailty models with applications in single molecular experiments
Ying Hung, Li-Hsiang Lin, and C. F. Jeff Wu
Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors
Marco H. Benedetti, Veronica J. Berrocal, and Naveen N. Narisetty
Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19
Ruoyu Wang and Qihua Wang
Simultaneous estimation of cluster number and feature sparsity in high-dimensional cluster analysis
Yujia Li, Xiangrui Zeng, Chien-Wei Lin, and George C. Tseng
Recruitment prediction for multi-centre clinical trials based on a hierarchical Poisson-gamma model: asymptotic analysis and improved intervals
Rachael Mountain and Chris Sherlock
Semiparametric estimation of the non-mixture cure model with auxiliary survival information
Bo Han, Ingrid Van Keilegom, and Xiaoguang Wang
Global sensitivity analysis of randomized trials with non-monotone missing binary outcomes: application to studies of substance use disorders
Daniel O. Scharfstein, Jon Steingrimsson, Aidan McDermott, Chenguang Wang, Souvik Ray, Aimee Campbell, Edward Nunes, and Abigail Matthews
Regression-based negative control of homophily in dyadic peer effect analysis
Lan Liu and Eric Tchetgen Tchetgen
Non-parametric estimation of Spearman’s rank correlation with bivariate survival data
Svetlana Eden, Chun Li, and Bryan Shepherd
A Bayesian spatial model for imaging genetics
Yin Song, Shufei Ge, Jiguo Cao, Liangliang Wang, and Farouk Salim Nathoo
Spatial factor modeling: A Bayesian matrix-normal approach for misaligned data
Lu Zhang and Sudipto Banerjee
Cox regression model under dependent truncation
Lior Rennert and Sharon X. Xie
Sparse linear discriminant analysis for multi-view structured data
Sandra E. Safo, Eun Jeong Min, and Lillian Haine
Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score
J. G. (Jiangang) Liao and Charles Rohde
A generalized robust allele-based genetic association test
Lin Zhang and Lei Sun
Modeling dynamic correlation in zero-inflated bivariate count data with applications to single-cell RNA sequencing data
Zhen Yang and Yen-Yi Ho
Distributional independent component analysis for diverse neuroimaging modalities
Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
Heather Shappell and Sean L. Simpson
Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
Amanda Mejia
Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
Kan Keeratimahat and Thomas E. Nichols
Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
Beatrijs Moerkerke and Ruth Seurinck
Rejoinder to "Distributional independent component analysis for diverse neuroimaging modalities"
Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring
Sujatro Chakladar, Samuel P. Rosin, Michael G. Hudgens, M. Elizabeth Halloran, John D. Clemens, Mohammad Ali, and Michael E. Emch,
Integrative analysis of multiple case-control studies
Han Zhang, Lu Deng, William Wheeler, Jing Qin, and Kai Yu
On polygenic risk scores for complex traits prediction
Bingxin Zhao and Fei Zou
Restricted function-on-function linear regression model
Ruiyan Luo and Xin Qi
A transformation-free linear regression for compositional outcomes and predictors
Jacob Fiksel, Scott L. Zeger, and Abhirup Datta
Inferring UK COVID-19 fatal infection trajectories from daily mortality data: were infections already in decline before the UK lockdowns?
Simon N. Wood
Testing for association in multi-view network data
Lucy L. Gao, Daniela Witten, and Jacob Bien
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
H. F. Fisher, R. J. Boys, C. S. Gillespie, C. J. Proctor, and A. Golightly
Multivariate survival analysis in big data: a divide-and-combine approach
Wei Wang, Shou-En Lu, Jerry Q. Cheng, Minge Xie, and John B. Kostis
Bayesian analysis of coupled cellular and nuclear trajectories for cell migration
Saptarshi Chakraborty, Tian Lan, Yiider Tseng, and Samuel W.K. Wong
A consistent version of distance covariance for right-censored survival data and its application in hypothesis testing
Dominic Edelmann, Thomas Welchowski, Axel Benner
Stratified Cox models with time-varying effects for national kidney transplant patients: A new block-wise steepest ascent method
Kevin He, Ji Zhu, Jian Kang, and Yi Li
Semiparametric analysis of clustered interval-censored survival data using Soft Bayesian Additive Regression Trees (SBART)
Piyali Basak, Antonio Ricardo Linero, Debajyoti Sinha, and Stuart R. Lipsitz
Optimization of sampling designs for pedigrees and association studies
Olivier David, Arnaud Le Rouzic, and Christine Dillmann
Feature screening with large scale and high dimensional survival data
Grace Yi, Wenqing He, and Raymond J. Carroll
Regression with interval-censored covariates: application to cross-sectional incidence estimation
Doug Morrison, Oliver Laeyendecker, and Ron Brookmeyer
Efficient detection and classification of epigenomic changes under multiple conditions
Pedro L. Baldoni, Naim U. Rashid, and Joseph G. Ibrahim
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach
Cheng Zheng and Lei Liu
Spatial+: a novel approach to spatial confounding
Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Brian J. Reich, Shu Yang, and Yawen Guan
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Isa Marques and Thomas Kneib
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Alexandra M. Schmidt
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Georgia Papadogeorgou
Rejoinder to the discussions of "Spatial+: a novel approach to spatial confounding"
Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations
Shu Yang
Estimating vaccine efficacy over time after a randomized study is unblinded
Anastasios A. Tsiatis and Marie Davidian
Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian
M. Elizabeth Halloran
Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian
Holly Janes, Fei Gao, and Alex Luedtke
Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian
Dean Follmann
Rejoinder to "Estimating Vaccine Efficacy Over Time After a Randomized Study is Unblinded"
Anastasios A. Tsiatis and Marie Davidian
Modeling semi-competing risks data as a longitudinal bivariate process
Daniel Nevo, Deborah Blacker, Eric B. Larson, and Sebastien Haneuse
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Lingjing Jiang, Niina Haiminen, Anna-Paola Carrieri, Shi Huang, Yoshiki Vazquez-Baeza, Laxmi Parida, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, and Loki Natarajan
Non-parametric estimation in an illness-death model with component-wise censoring
Anne Eaton, Yifei Sun, James Neaton, and Xianghua Luo
Addressing patient heterogeneity in disease predictive model development
Xu Gao, Weining Shen, Jing Ning, Ziding Feng, and Jianhua Hu
Non-homogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests
Marzieh Kadkhodaei Golmakani, Rebecca A. Hubbard, and Diana Miglioretti
Simulation-based estimators of analytically intractable causal effects
Antonio R. Linero
A semi-parametric model for between-subject attributes: applications to beta-diversity of microbiome data
J. Liu, X. Zhang, T. Chen, T. Wu, T. Lin, L. Jiang, S. Lang, L. Liu, L. Natarajan, J.X. Tu, T. Kosciolek, J. Morton, T. Nguyen, B. Schnabl, R. Knight, C. Feng, Y. Zhong, and X.M. Tu
Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction
Kai Deng and Xin Zhang
Spatial correlation structures for detections of individuals in spatial capture-recapture models
Ben Courtney Stevenson, Rachel M. Fewster, and Koustubh Sharma
A multi-view model for relative and absolute microbial abundances
Brian D. Williamson, James P. Hughes, and Amy D. Willis
Sample size formula for general win ratio analysis
Lu Mao, KyungMann Kim, and Xinran Miao
A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV
Wei Jin, Yang Ni, Leah H. Rubin, Amanda B. Spence, and Yanxun Xu
WiSER: robust and scalable estimation and inference of within-subject variances from intensive longitudinal data
Christopher A. German, Janet S. Sinsheimer, Jin Zhou, and Hua Zhou
Group sequential testing for cluster randomization trials with time-to-event endpoint
Sin-Ho Jung and Jianghao Li
Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio
Bo Zhang, Siyu Heng, Emily J. MacKay, and Ting Ye
Estimating mean potential outcome under adaptive treatment length strategies in continuous time
Hao Sun, Ashkan Ertefaie, and Brent Johnson
Design-based properties of the nearest neighbour spatial interpolator and its bootstrap mean squared error estimator
Lorenzo Fattorini, Marzia Marcheselli, Caterina Pisani, and Luca Pratelli
Pool adjacent violators algorithm assisted learning with application on estimating optimal individualized treatment regimes
Baojiang Chen, Ao Yuan, and Jing Qin
Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity
Henry R. Scharf, Ann Raiho, Sierra Pugh, Carl Roland, David Swanson, Sarah Stehn, and Mevin Hooten
Flexible use of Copula-type model for dose-finding in drug combination clinical trials
Koichi Hashizume, Jun Tshuchida, and Sozu Takashi,
Efficient odds ratio estimation under two-phase sampling using error-prone data from a multi-national HIV research cohort
Sarah C. Lotspeich, Bryan E. Shepherd, Gustavo G. C. Amorim, Pamela A. Shaw, and Ran Tao
Integration of survival data from multiple studies
Steffen Ventz, Rahul Mazumder, and Lorenzo Trippa
Joint modeling of zero-inflated longitudinal proportions and time-to-event data with application to a gut microbiome study
Jiyuan Hu, Chan Wang, Martin J. Blaser, and Huilin Li
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
Jonathan Fintzi, Jon Wakefield, and Vladimir N. Minin
Another look at regression analysis using ranked set samples with application to an osteoporosis study
Nasrin Faraji, Mohammad Jafari Jozani, and Nader Nematollahi
Varying-coefficient regression analysis for pooled biomonitoring
Dewei Wang, Xichen Mou, and Yan Liu
Weak-instrument robust tests in two-sample summary-data Mendelian randomization
Sheng Wang and Hyunseung Kang
A semiparametric isotonic regression model for skewed distributions with application to DNA-RNA-protein analysis
Chenguang Wang, Ao Yuan, Leslie Cope, and Jing Qin
Sample size estimation for cancer randomized trials in the presence of heterogeneous populations
Derek Dinart, Carine Bellera, and Virginie Rondeau
Multidimensional molecular measurements-environment interaction analysis for disease outcomes
Yaqing Xu, Mengyun Wu, and Shuangge Ma
Reducing subspace models for large-scale covariance regression
Alexander M. Franks
On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime
Xin Chen, Rui Song, Jiajia Zhang, Swann Arp Adams, Liuquan Sun, and Wenbin Lu
Analysis of local sensitivity to nonignorability with missing outcomes and predictors
Heng Chen and Daniel F. Heitjan
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics
Simon Bussy, Mokhtar Z. Alaya, Anne-Sophie Jannot, and Agathe Guilloux
Bivariate small area estimation for binary and Gaussian variables based on a conditionally specified model
Hao Sun, Emily Berg, and Zhengyuan Zhu
Bayesian adaptive trial design for a continuous biomarker with possibly non-Linear or non-monotone prognostic or predictive effects
Yusha Liu, John A. Kairalla, and Lindsay A. Renfro
Joint association and classification analysis of multi-view data
Yunfeng Zhang and Irina Gaynanova
Extracting brain disease-related connectome subgraphs by adaptive dense subgraph discovery
Qiong Wu, Xiaoqi Huang, Adam Culbreth, James Waltz, Elliot Hong, and Shuo Chen
Nonparametric estimation of the survival distribution under covariate-induced dependent truncation
Bella Vakulenko-Lagun, Jing Qian, Sy-Han Chiou, Nancy Wang, and Rebecca A. Betensky
Re-calibrating pure risk integrating individual data from two-phase studies with external summary statistics
Jiayin Zheng, Yingye Zheng, and Li Hsu
Simultaneous variable selection in regression analysis of multivariate interval-censored data
Liuquan Sun, Shuwei Li, Lianming Wang, Xinyuan Song, and Xuemei Sui
Sufficient dimension reduction for populations with structured heterogeneity
Jared D. Huling and Menggang Yu
Hierarchical cancer heterogeneity analysis based on histopathological imaging features
Mingyang Ren, Qingzhao Zhang, Sanguo Zhang, Tingyan Zhong, Jian Huang, and Shuangge Ma
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
Elastic priors to dynamically borrow information from historical data in clinical trials
Liyun Jiang, Lei Nie, and Ying Yuan
Simultaneous feature selection and outlier detection with optimality guarantees
Luca Insolia, Ana Kenney, Francesca Chiaromonte, and Giovanni Felici
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
Accelerated failure time modeling via nonparametric mixtures
Byungtae Seo and Sangwook Kang
Latent group detection in functional partially linear regression models
Wu Wang, Ying Sun, and Huixia Judy Wang
Sensitivity analyses informed by tests for bias in observational studies
Paul R. Rosenbaum
SMIM: a unified framework of survival sensitivity analysis using multiple imputation and Martingale
Shu Yang, Yilong Zhang, Guanghan Frank Liu, and Qian Guan
Causal inference with outcomes truncated by death in multiarm studies
Shanshan Luo, Wei Li, and Yangbo He
Reader Reaction to "Outcome-adaptive lasso: variable selection for causal inference" by Shortreed and Ertefaie (2017)
Ismaila Balde, Yi Yang, and Genevieve Lefebvre
Rejoinder to "Reader Reaction to "Outcome-adaptive lasso: variable selection for causal inference" by Shortreed and Ertefaie (2017)"
Jeremiah Jones, Ashkan Ertefaie, and Susan M. Shortreed
Estimation of separable direct and indirect effects in continuous time
Torben Martinussen and Mats Julius Stensrud
Modelling publication bias and p-hacking
Jonas Moss and Riccardo De Bin
Interim monitoring in sequential multiple assignment randomized trials
Liwen Wu, Junyao Wang, and Abdus S. Wahed
On restricted mean time in favor of treatment
Lu Mao
Bayesian multiple index models for environmental mixtures
Glen McGee, Ander Wilson, Thomas F. Webster, and Brent A. Coull
Spectra in Low-Rank Localized Layers (SpeLLL) for interpretable time-frequency analysis
Marie Tuft, Martica H. Hall, and Robert T. Krafty
Variable selection in nonlinear function-on-scalar regression
Rahul Ghosal and Arnab Maity
A matching procedure for sequential experiments that iteratively learns which covariates improve power
Adam Kapelner and Abba Krieger
Dynamic logistic state-space prediction model for clinical decision making
Jiakun Jiang, Wei Yang, Erin M. Schnellinger, Stephen E. Kimmel, and Wensheng Guo
Instrumental variable estimation of complier causal treatment effect with interval-censored data
Shuwei Li and Limin Peng
Evaluating the association between latent classes and competing risks outcomes with multi-phenotype data
Teng Fei, John Hanfelt, and Limin Peng
Jackknife model averaging for high-dimensional quantile regression
Miaomiao Wang, Xinyu Zhang, Alan T. K. Wan, Kang You, and Guohua Zou
Generalized case-control sampling under generalized linear models
Jacob M. Maronge, Ran Tao, Jonathan S. Schildcrout, and Paul J. Rathouz
CASANOVA: Permutation inference in factorial survival designs
Marc Ditzhaus, Jon Genuneit, Arnold Janssen, and Markus Pauly
Bayesian non-parametric quantile process regression and estimation of marginal quantile effects
Steven G. Xu and Brian J. Reich
Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs
Daniel Mork and Ander Wilson
Adaptive enrichment designs with a continuous biomarker
Nigel Stallard
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard
Rachael V. Phillips and Mark J. van der Laan
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard
James M. S. Wason
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard
Christopher Jennison
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard
Nancy Flournoy and Sergey Tarima
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard
Nancy Flournoy and Sergey Tarima
Rejoinder to discussion on "Adaptive enrichment designs with a continuous biomarker"
Nigel Stallard
Logistic regression analysis of two-phase studies using generalized method of moments
Prosenjit Kundu and Nilanjan Chatterjee
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
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
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
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
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
Non-iterative adjustment to regression estimators with population-based auxiliary information for semiparametric models
Fei Gao, and K. C. G. Chan
De-biased Lasso for generalized linear models with a diverging number of covariates
Lu Xia, Bin Nan, and Yi Li
Functional additive models for optimizing individualized treatment rules
Hyung Park, Eva Petkova, Thaddeus Tarpey, and R. Todd Ogden
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
Sample size considerations for stepped wedge designs with subclusters
Kendra Davis-Plourde, Monica Taljaard, and Fan Li
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
Covariate adjustment in continuous biomarker assessment
Ziyi Li, Yijian Huang, Dattatraya Patil, and Martin G. Sanda
Risk prediction with imperfect survival outcome information from electronic health records
Jue Hou, Stephanie F. Chan, Xuan Wang, and Tianxi Cai
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
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
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
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
Correction to “A penalized framework for distributed lag non-linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017
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
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