Papers to Appear
Cover Image: Human Leukocyte Antigen (HLA) alleles are genetic variants of HLA genes. The three HLA class I (HLA-I) genes (HLA-A, HLA-B, and HLA-C) encode for thousands of HLA-I alleles in the human population. An important function of these HLA-I alleles is to present peptides within a cell at cell surface, which is a key step in our immune system. This figure represents the hierarchical clustering of 130 HLA-I alleles, where the distance between two alleles is smaller if they present a similar set of peptides. This clustering result demonstrates that HLA-I alleles that present similar sets of peptides have similar DNA sequences, as reflected by their names. This comes from Figure 2C in the article authored by Laura Y. Zhou, Fei Zou, and Wei Sun, and entitled "Prioritizing candidate peptides for cancer vaccines through predicting peptide presentation by HLA-I proteins."
Biometric Methodology
Structural cumulative survival models for estimation of treatment effects accounting for treatment switching in randomized experiments
Andrew Ying and Eric J. Tchetgen Tchetgen
Dimension reduction for integrative survival analysis
Aaron J. Molstad and Rohit K. Patra
Concordance indices with left-truncated and right-censored data
Nicholas Hartman, Sehee Kim, Kevin He, and John D. Kalbfleisch
Joint inference for competing risks data using multiple endpoints
Jiyang Wen, Chen Hu, and Mei-Cheng Wang
Maximum likelihood estimation in the additive hazards model
Chengyuan Lu, Jelle Goeman, and Hein Putter
Penalized estimation of frailty-based illness-death models for semi-competing risks
Harrison T. Reeder, Junwei Lu, and Sebastien J. Haneuse
Marginal proportional hazards models for clustered interval-censored data with time-dependent covariates
Kaitlyn Cook, Wenbin Lu, and Rui Wang
Improved semiparametric estimation of the proportional rate model with recurrent event data
Ming-Yueh Huang and Chiung-Yu Huang
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
Model uncertainty quantification in Cox regression
Gonzalo Garcia-Donato, Stefano Cabras, and Maria Eugenia Castellanos
General independent censoring in event-driven trials with staggered entry
Jasmin Ruhl, Jan Beyersmann, and Sarah Friedrich
Nonparametric inference of general while-alive estimands for recurrent events
Lu Mao
Two-level Bayesian interaction analysis for survival data incorporating pathway information
Xing Qin, Shuangge Ma, and Mengyun Wu
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
Tractable Bayes of skew-elliptical link models for correlated binary data
Zhongwei Zhang, Reinaldo B. Arellano-Valle, Marc G. Genton, and Raphael Huser
Integrative Bayesian models using post-selective inference: a case study in radiogenomics
Snigdha Panigrahi, Shariq Mohammed, Arvind Rao, and Veerabhadran Baladandayuthapani
Bayesian regression analysis of skewed tensor responses
Inkoo Lee, Debajyoti Sinha, Qing Mai, Xin Zhang, and Dipankar Bandyopadhyay
Adaptive Bayesian sum of trees model for covariate dependent spectral analysis
Yakun Wang, Zeda Li, and Scott A. Bruce
Solutions for surrogacy validation with longitudinal outcomes for a gene therapy
Emily K. Roberts, Michael R. Elliott, and Jeremy M. G. Taylor
Subset selection for linear mixed models
Daniel R. Kowal
Grouped generalized estimating equations for longitudinal data analysis
Tsubasa Ito and Shonosuke Sugasawa
Asynchronous functional linear regression models for longitudinal data in reproducing kernel Hilbert space
Ting Li, Huichen Zhu, Tengfei Li, and Hongtu Zhu
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
Optimal multiple testing and design in clinical trials
Ruth Heller, Abba Krieger, and Saharon Rosset
Change-plane analysis for subgroup detection with a continuous treatment
Peng Jin, Wenbin Lu, Yu Chen, and Mengling Liu
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
Tensor response quantile regression with neuroimaging data
Bo Wei, Limin Peng, Ying Guo, Amita Manatunga, and Jennifer Stevens
Joint semiparametric models for case-cohort designs
Weibin Zhong and Guoqing Diao
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
Combining parametric and nonparametric models to estimate treatment effects in observational studies
Daniel Daly-Grafstein and Paul Gustafson
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
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
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
Quantile regression for nonignorable missing data with its application of analyzing electronic medical records
Aiai Yu, Yujie Zhong, Xingdong Feng, and Ying Wei
Frequentist model averaging for undirected Gaussian graphical models
Huihang Liu and Xinyu Zhang
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
Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries
Ao Huang, Kosuke Morikawa, Tim Friede, and Satoshi Hattori
Elastic analysis of irregularly or sparsely sampled curves
Lisa Steyer, Almond Stocker, and Sonja Greven
A general framework for subgroup detection via one-step value difference estimation
Dana Johnson, Wenbin Lu, and Marie Davidian
Pair-switching rerandomization
Ke Zhu and Hanzhong Liu
Double reduction estimation and equilibrium tests in natural autopolyploid populations
David Gerard
Centre-augmented $\ell_2$-type regularization for subgroup learning
Ling Zhou, Ye He, Yingcun Xia, and Huazhen Lin
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
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
Generalized propensity score approach to causal inference with spatial interference
A. Giffin, B. J. Reich, S. Yang, and A. G. Rappold
Functional data analysis with covariate-dependent mean and covariance structures
Chenlin Zhang, Huazhen Lin, Li Liu, Jin Liu, and Yi Li
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
Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high-throughput experiments
Feipeng Zhang and Qunhua Li
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
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
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
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
Inference for the dimension of a regression relationship using pseudo-covariates
Shih-Hao Huang, Kerby Shedden, and Hsin-wen Chang
Consistent estimation of the number of communities via regularized network embedding
Mingyang Ren, Sanguo Zhang, and Junhui Wang
Biometric Practice
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
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
A latent state space model for estimating brain dynamics from electroencephalogram (EEG) data
Qinxia Wang, Ji Loh, Xiaofu He, and Yuanjia Wang
Bayesian treatment screening and selection using subgroup-specific utilities of response and toxicity
Juhee Lee, Peter F. Thall, and Pavlos Msaouel
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
Bayesian sample size calculations for comparing two strategies in SMART studies
Armando Turchetta, Erica E. M. Moodie, David A. Stephens, and Sylvie D. Lambert
Fast Bayesian inference for large occupancy dataset
Alex Diana, Emily B. Dennis, Eleni Matechou, and Byron J.T. Morgan
Comparing COVID-19 incidences longitudinally per economic sector against the background of preventive measures and vaccination
Florian Stijven, Johan Verbeeck, and Geert Molenberghs
Age-related model for estimating the symptomatic and asymptomatic transmissibility of COVID-19 patient
Jianbin Tan, Ye Shen, Yang Ge, Leonardo Martinez, and Hui Huang
Correcting delayed reporting of COVID-19 using the Generalized-Dirichlet-Multinomial method
Oliver Stoner, Alba Halliday, and Theo Economou
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
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
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
Spatial dependence modeling of latent susceptibility and time to joint damage in psoriatic arthritis
Fangya Mao and Richard J. Cook
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
Misdiagnosis-related harm quantification through mixture models and harm measures
Yuxin Zhu, Zheyu Wang, and David Newman-Toker
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
Prioritizing candidate peptides for cancer vaccines through predicting peptide presentation by HLA-I proteins
Laura Y. Zhou, Fei Zou, and Wei Sun
Neural network on interval censored data with application to the prediction of Alzheimer’s Disease
Tao Sun and Ying Ding
Delivering spatially comparable inference on the risks of multiple severities of respiratory disease from spatially misaligned disease count data
Duncan Lee and Craig Anderson
Associating somatic mutation with clinical outcomes through kernel regression and optimal transport
Paul Little, Li Hsu, and Wei Sun
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
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
Hospital profiling using Bayesian decision theory
Johannes Hengelbrock, Johannes Rauh, Jona Cederbaum, Maximilian Kähler, and Michael Höhle
Book Reviews
Probability and Random Variables: Theory and Applications (Iickho Song, So Ryoung Park, and Seokho Yoon)
Reviewed by Chen-Po Liao
Mendelian Randomization (Stephen Burgess and Simon G. Thompson)
Reviewed by Chia Yen Chen
Fundamentals of High-Dimensional Statistics: With Exercises and R Labs (Johannes Lederer)
Reviewed by Li-Pang Chen
Papers to appear in future issues of Biometrics
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
Rejoinder to discussions on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss"
Willi Maurer, Frank Bretz, and Xiaolei Xun
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
Rejoinder to discussions on "The central role of the identifying assumption in population size estimation"
Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
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
A semiparametric Cox-Aalen transformation model with censored data
Xi Ning, Yinghao Pan, Yanqing Sun, and Peter B. Gilbert
Analysis of dynamic restricted mean survival time based on pseudo-observations
Zijing Yang, Chengfeng Zhang, Yawen Hou, and Zheng Chen
Generating designs for comparative experiments with two blocking factors
Nha Vo-Thanh and Hans-Peter Piepho
Simultaneous selection and inference for varying coefficients with zero regions: A soft-thresholding approach
Yuan Yang, Ziyang Pan, Jian Kang, Chad Brummett, and Yi Li
Bayesian model selection for generalized linear mixed models
Shuangshuang Xu, Marco A. R. Ferreira, Erica M. Porter, and Christopher T. Franck
Sample size & power determination for multiparameter evaluation in nonlinear regression models with potential stratification
Michael J. Martens, Soyoung Kim, and Kwang Woo Ahn
Transportability of causal inference under random dynamic treatment regimes for kidney-pancreas transplantation
Grace R. Lyden, David M. Vock, Erika S. Helgeson, Erik B. Finger, Arthur J. Matas, and Jon J. Snyder
Analysis of length-biased and partly interval-censored survival data with mismeasured covariates
Li-Pang Chen and Bangxu Qiu
Analyzing clustered continuous response variables with ordinal regression models
Yuqi Tian, Bryan E. Shepherd, Chun Li, Donglin Zeng, and Jonathan J. Schildcrout
Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model
David A. Buch, James Johndrow, and David B. Dunson
Melding wildlife surveys to improve conservation inference
Justin J. Van Ee, Christian A. Hagen, David C. Pavlacky Jr., Kent A. Fricke, Matthew D. Koslovsky, and Mevin B. Hooten
Optimizing treatment allocation in randomized clinical trials by leveraging baseline covariates
Wei Zhang, Zhiwei Zhang, and Aiyi Liu
A self-censoring model for multivariate nonignorable nonmonotone missing data
Yilin Li, Wang Miao, Ilya Shpitser, and Eric J. Tchetgen Tchetgen
Nonlinear multilevel joint model for individual lesion kinetics and survival to characterize intra-individual heterogeneity in patients with advanced cancer
Marion Kerioui, Maxime Beaulieu, Solène Desmée, Julie Bertrand, François Mercier, Jin Y. Jin, René Bruno, and Jérémie Guedj
A proportional incidence rate model for aggregated data to study the vaccine effectiveness against COVID-19 hospital and ICU admissions
Ping Yan, Muhammad Abu Shadeque Mullah, and Ashleigh Tuite
A Bayesian causal inference approach in observational studies with missingness in covariates and outcomes
Huaiyu Zang, Hang J. Kim, Bin Huang, and Rhonda Szczesniak
A second evidence factor for a second control group
Paul R. Rosenbaum
Efficient algorithms for building representative matched pairs with enhanced generalizability
Bo Zhang
How to analyze continuous and discrete repeated measures in small sample cross-over trials?
Johan Verbeeck, Martin Geroldinger, Konstantin Thiel, Andrew C. Hooker, Sebastian Ueckert, Mats Karlsson, Arne C. Bathke, Johann W. Bauer, Geert Molenberghs, and Georg Zimmermann
SAM: Self-adapting mixture prior to dynamically borrow information from historical data in clinical trials
Peng Yang, Yuansong Zhao, Lei Nie, Jonathon Vallejo, and Ying Yuan
Multiresolution categorical regression for interpretable cell type annotation
Aaron J. Molstad and Motwani Keshav
Bayesian meta-analysis of penetrance for cancer risk
Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas
Functional Bayesian networks for discovering causality from multivariate functional data
Fangting Zhou, Kejun He, Kunbo Wang, Yanxun Xu, and Yang Ni
Study design for restricted mean time analysis of recurrent events and death
Lu Mao
Latent factor model for multivariate functional data
Ruonan Li, and Luo Xiao
Regression-based multiple treatment effect estimation under covariate-adaptive randomization
Yujia Gu, Hanzhong Liu, and Wei Ma
Personalized treatment selection via product partition models with covariates
Matteo Pedone, Raffaele Argiento, and Francesco C. Stingo
Multiple augmented reduced rank regression for pan-cancer analysis
Jiuzhou Wang and Eric F. Lock
Longitudinal varying coefficient single-index model with censored covariates
Shikun Wang, Jing Ning, Ying Xu, Tina Ya-Chen Shih, Yu Shen, and Liang Li
Incorporating participants’ welfare into sequential multiple assignment randomized trials
Xinru Wang, Nina Deliu, Yusuke Narita, and Bibhas Chakraborty
Homogeneity pursuit and variable selection in regression models for multivariate abundance data
Francis K.C. Hui, Luca Maestrini, and Alan H. Welsh