Papers to Appear
Cover image: This figure shows the distribution of yields of 7 trials testing 240 wheat genotypes. We observe 1-2 yields for each genotype per trial. The large points in each facet show the observed yields for a particular genotype indicated in the facet title. Cases 1-2 shows where the observation in the second trial is flagged as an outlier only when considering information from other trials. Case 3 shows where the observation in the 7th trial is flagged as an outlier only if disregarding information from other trials. Case 4 shows that all methods considered picked observations in the first trial as an outlier. This comes from Figure 1 in the article authored by Emi Tanaka, and entitled "Simple outlier detection for a multi-environmental field trial."
Biometric Methodology
A unified evaluation of differential vaccine efficacy
Erin E. Gabriel, Michael C. Sachs, Dean A. Follmann, and Therese M-L. Andersson
Power analysis for cluster randomized trials with multiple binary co-primary endpoints
Dateng Li, Jing Cao, and Song Zhang
On using electronic health records to improve optimal treatment rules in randomized trials
Peng Wu, Donglin Zeng, Haoda Fu, and Yuanjia Wang
Weight calibration to improve the efficiency of pure risk estimates from case-control samples bested in a cohort
Yei Eun Shin, Ruth M. Pfeiffer, Barry I. Graubard, and Mitchell H. Gail
Constructing confidence intervals for selected parameters
Haibing Zhou and Xinping Cui
Partial Least Squares Method for Functional Joint Models with an application to the Alzheimers Disease Neuroimaging Initiative Study
Yue Wang, Joseph G. Ibrahim, and Hongtu Zhu
Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer’s disease
Christine B. Peterson, Nathan Osborne, Francesco C. Stingo, Pierrick Bourgeat, James D. Doecke, and Marina Vannucci
A Bayesian nonparametric testing procedure for paired samples
Luz Adriana Pereira, Daniel Taylor-Rodriguez, and Luis Gutierrez
Nonparametric estimation of distributions and diagnostic accuracy based on group-tested results with differential misclassification
Wei Zhang, Aiyi Liu, Qizhai Li, and Paul S. Albert
On the empirical choice of the time window for restricted mean survival time
Lu Tian, Hua Jin, Hajime Uno, Ying Lu, Bo Huang, Keaven Anderson, and L. J. Wei
Highly efficient stepped wedge designs for clusters of unequal size
J.N.S. Matthews
ROC-guided survival trees and ensembles
Yifei Sun, Sy Han Chiou, and Mei-Cheng Wang
Doubly robust tests of exposure effects under high-dimensional confounding
Oliver Dukes, Vahe Avagyan, and Stijn Vansteelandt
Censored quantile regression model with time-varying covariates under length-biased sampling
Zexi Cai and Tony Sit
On symmetric semiparametric two-sample problem
Moming Li, Guoqing Diao, Jing Qin
Semiparametric modelling and estimation of covariate-adjusted dependence between bivariate recurrent events
Jing Ning, Chunyan Cai, Yong Chen, Xuelin Huang, and Mei-Cheng Wang
Biometric Practice
DISCUSSION PAPER
Testing small study effects in multivariate meta-analysis
Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen
Discussion
Hans C. van Houwelingen
Discussion
Hisashi Noma
Discussion
James R. Carpenter, Gerta Rucker, and Guido Schwarzer
Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies
Zachary R. McCaw, Jacqueline M. Lane, Richa Saxena, Susan Redline, and Xihong Lin
Non-negative decomposition of functional count data
Daniel Backenroth, Russell T. Shinohara, Jennifer A. Schrack, and Jeff Goldsmith
Objective prior distributions for Jolly-Seber models of zero-augmented data
Robert M. Dorazio
A Bayesian Multi-Risks Survival (MRS) model in the presence of double censorings
Mario de Castro, Ming-Hui Chen, Yuanye Zhang, and Anthony V. D’Amico
Estimating individualized treatment rules with risk constraint
Xinyang Huang and Jin Xu
Relative efficiency of using summary versus individual data in random-effects meta-analysis
Ding-Geng Chen, Dungang Liu, Xiaoyi Min, and Heping Zhang
Variable selection in joint frailty models of recurrent and terminal events
Dongxiao Han, Xiaogang Su, Liuquan Sun, Zhou Zhang, and Lei Liu
Using sufficient direction factor model to analyze latent activities associated with breast cancer survival
Seungchul Baek, Yen-Yi Ho, and Yanyuan Ma
Relapse or reinfection: Classification of malaria infection using transition likelihoods
Feng-Chang Lin, Quefeng Li, and Jessica Lin
PA-CRM: A continuous reassessment method for pediatric Phase I oncology trials with concurrent adult trials
Yimei Li and Ying Yuan
Simple outlier detection for a multi-environmental field trial
Emi Tanaka
Letter to the Editors
CACE and meta-analysis (Letter to the editor)
Stuart Baker
Rejoinder
Jincheng Zhou, James S. Hodges, and Haitao Chu
Book reviews
Time Series Clustering and Classification (Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado)
Reviewed by Prabhanjan Tattar
Reproducible Research with R and Rstudio (Christopher Gandrud)
Reviewed by Lucy D’Agostino McGowan
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare (Mark Chang)
Reviewed by Li-Pang Chen
Papers to appear in future issues of Biometrics
Nonparametric variable importance assessment using machine learning techniques
Brian D. Williamson, Peter B. Gilbert, Noah Simon, and Marco Carone
Discussion on "Nonparametric variable importance assessment using machine learning techniques" by Brian D. Williamson, Peter B. Gilbert, Marco Carone, and Noah Simon
Min Lu and Hemant Ishwaran
Rejoinder to "Nonparametric variable importance assessment using machine learning techniques"
Brian D. Williamson, Peter B. Gilbert, Noah Simon, and Marco Carone
A Bayesian nonparametric model for zero-inflated outcomes: prediction, clustering, and causal estimation
Arman Oganisian, Nandita Mitra, and Jason A. Roy
Marginal analysis of multiple outcomes with informative cluster size
A. A. Mitani, E. K. Kaye, and K. P. Nelson
Testing tumors from different anatomic sites for clonal relatedness using somatic mutation data
Irina Ostrovnaya, Audrey Mauguen, Venkatraman E. Seshan, and Colin B. Begg
Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data
Leo Polansky, Ken B. Newman, and Lara Mitchell
Dynamic inference in general nested case-control designs
J. Feifel and D. Dobler
A Bayesian spatial model for imaging genetics
Yin Song, Shufei Ge, Jiguo Cao, Liangliang Wang, and Farouk Salim Nathoo
Ensemble clustering for step data via binning
Ja-Yoon Jang, Hee-Seok Oh, Yaeji Lim, and Ken Cheung
Bayesian analysis of survival data with missing censoring indicators
Naomi Brownstein, Veronica Bunn, Luis M. Castro, and Debajyoti Sinha
Case contamination in electronic health records-based case-control studies
Lu Wang, Jill Schnall, Aeron Small, Rebecca A. Hubbard, Jason H. Moore, Scott M. Damrauer, and Jinbo Chen
A Joint Modeling Approach for Analyzing Marker Data in the Presence of a Terminal Event
Jie Zhou, Xin Chen, Xinyuan Song, and Liuquan Sun
Bayesian latent multi-state modeling for non-equidistant longitudinal electronic health records
Y. Luo, D. A. Stephens, A. Verma, and D. L. Buckeridge
Exploiting non-systematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies
Noémi Kreif, Oleg Sofrygin, Julie Schmittdiel, Alyce Adams, Richard Grant, Zheng Zhu, Mark van der Laan, and Romain Neugebauer
Analyzing wearable device data using marked point processes
Yuchen Yang and Mei-Cheng Wang
Transporting stochastic direct and indirect effects to new populations
Kara E. Rudolph, Jonathan Levy, and Mark J. van der Laan
On computation of semi-parametric maximum likelihood estimators with shape constraints
Yudong Wang, Zhi-Sheng Ye, and Hongyuan Cao
A powerful procedure that controls the false discovery rate with directional information
Zhaoyang Tian, Kun Liang, and Pengfei Li
Adaptive treatment and robust control
Q. Clairon, R. Henderson, N. J. Young, E. D. Wilson, and C. J. Taylor
Retrospective score tests versus prospective score tests for genetic association with case-control data
Yukun Liu, Pengfei Li, Lei Song, Kai Yu, and Jing Qin
Upper bound estimators of the population size based on ordinal models for capture-recapture experiments
Marco Alfo, Dankmar Boehning, and Irene Rocchetti
Bayesian inference of causal effects from observational data in Gaussian graphical models
Federico Castelletti, and Guido Consonni
Efficient screening of predictive biomarkers for individual treatment selection
Shonosuke Sugasawa, and Hisashi Noma
Parameter estimation for discretely-observed linear birth-and-death processes
Anthony Davison, Sophie Hautphenne, and Andrea Kraus
Zero-inflated Poisson Factor Model with Application to Microbiome Read Counts
Tianchen Xu, Ryan T. Demmer, and Gen Li
A Bayes factor approach with informative prior for rare genetic variant analysis from next generation sequencing data
Jingxiong Xu, Wei Xu, and Laurent Briollais
Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep
Jean Feng, Scott Emerson, and Noah Simon
Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon
Gene Pennello, Berkman Sahiner, Alexej Gossmann, and Nicholas Petrick
Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon
Sherri Rose
Rejoinder to Discussions on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep," by Jean Feng, Scott Emerson, and Noah Simon
Jean Feng, Scott Emerson, and Noah Simon
Repeated Measures Random Forests (RMRF): Identifying factors associated with nocturnal hypoglycemia
Peter Calhoun, Richard A. Levine, and Juanjuan Fan
Generalized reliability based on distances
Meng Xu, Philip Reiss, and Ivor Cribben
Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies
Janie Coulombe, Erica E. M. Moodie, and Robert W. Platt
A penalized structural equation modeling method accounting for secondary phenotypes for variable selection on genetically regulated expression from PrediXcan for Alzheimer’s disease
Ting-Huei Chen and Hanaa Boughal
A semi-parametric Bayesian approach to population finding with time-to-event and toxicity data in a randomized clinical trial
Satoshi Morita, Peter Mueller, and Hiroyasu Abe
Estimating and inferring the maximum degree of stimulus-locked time-varying brain connectivity networks
Kean Ming Tan, Junwei Lu, Tong Zhang, and Han Liu
Iterated multi-source exchangeability models for individualized inference with an application to mobile sensor data
Roland Brown, Yingling Fan, Kirti Das, and Julian Wolfson
Bayesian group selection in logistic regression with application to MRI data analysis
Kyoungjae Lee and Xuan Cao
Flexible link functions in a joint hierarchical Gaussian process model
Weiji Su, Xia Wang, and Rhonda D. Szczesniak
Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties
David Kline and Staci Hepler
Latent Ornstein-Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses
Trung Dung Tran, Emmanuel Lesaffre, Geert Verbeke, and Joke Duyck
Robust and efficient semi-supervised estimation of average treatment effects with application to electronic health records data
David Cheng, Ashwin Ananthakrishnan, and Tianxi Cai
Sensitivity analysis for subsequent treatments in confirmatory oncology clinical trials: a two-stage stochastic dynamic treatment regime approach
Yasuhiro Hagiwara, Tomohiro Shinozaki, Hirofumi Mukai, and Yutaka Matsuyama
Evaluation of longitudinal surrogate markers
Denis Agniel and Layla Parast
Quantile regression for survival data with covariates subject to detection limits
Tonghui Yu, Liming Xiang, and Huixia Judy Wang
A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation
Kaiqiong Zhao, Karim Oualkacha, Lajmi Lakhal-Chaieb, Aurelie Labbe, Kathleen Klein, Antonio Ciampi, Marie Hudson, and Ines Colmegna
The impact of misclassification on covariate-adaptive randomized clinical trials
Tong Wang and Wei Ma
A Bayesian hierarchical model for characterizing the diffusion of new antipsychotic drugs
Chenyang Gu, Haiden Huskamp, Julie Donohue, and Sharon-Lise Normand
Two-group Poisson-Dirichlet mixtures for multiple testing
Francesco Denti, Michele Guindani, Fabrizio Leisen, Antonio Lijoi, W. Duncan Wadsworth, and Marina Vannucci
Optimality of testing procedures for survival data in the non-proportional hazards setting
Andrea Arfe, Brian Alexander, and Lorenzo Trippa
Developing and evaluating risk prediction models with panel current status data
Stephanie Chan, Xuan Wang, Ina Jazic, Sarah Peskoe, Yingye Zheng, and Tianxi Cai
Structural factor equation models for causal network construction via directed acyclic mixed graphs
Yan Zhou, Peter X.K. Song, and Xiaoquan Wen
Batch Bayesian optimization design for optimizing a neurostimulator
Adam Kaplan and Thomas A. Murray
Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard
Ching-Yun Wang, and Xiao Song
Horvitz–Thompson-like estimation with distance-based detection probabilities for circular plot sampling of forests
Kasper Kansanen, Petteri Packalen, Matti Maltamo, and Lauri Mehtatalo
Estimating the optimal timing of surgery from observational data
Xiaofei Chen, Daniel F. Heitjan, Gerald Greil, and Haekyung Jeon-Slaughter
Spatial regression and spillover effects in cluster randomised trials with count outcomes
Karim Anaya-Izquierdo and Neal Alexander
Scalable Bayesian matrix normal graphical models for brain functional networks
Suprateek Kundu and Benjamin B. Risk
A constrained single-index regression for estimating interactions between a treatment and covariates
Hyung Park, Eva Petkova, Thaddeus Tarpey, and Todd R. Ogden
Parametric g-formula implementations for causal survival analyses
Lan Wen, Jessica G. Young, James M. Robins, and Miguel A. Hernan
A multiple robust propensity score method for longitudinal analysis with intermittent missing data
Chixiang Chen, Biyi Shen, Aiyi Liu, Rongling Wu, and Ming Wang
A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development
Carter Allen, Sara E Benjamin-Neelon, and Brian Neelon
Semiparametric estimation of cross-covariance functions for multivariate random fields
Ghulam A. Qadir and Ying Sun
Resampling-based confidence intervals for model-free robust inference on optimal treatment regimes
Yunan Wu and Lan Wang
Nonparametric analysis of nonhomogeneous multi-state processes based on clustered observations
Giorgos Bakoyannis
Approximate Bayesian inference for case-crossover models
Alex Stringer, Patrick Brown, and Jamie Stafford
Estimation of incubation period and generation time based on observed length-biased epidemic cohort with censoring for COVID-19 outbreak in China
Yuhao Deng, Chong You, Yukun Liu, Jing Qin, and Xiao-Hua Zhou
Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random
Yang Liu, Yukun Liu, Pengfei Li, and Lin Zhu
Post-stratification fusion learning in longitudinal data analysis
Lu Tang and Peter Song
Analysis of noisy survival data with graphical proportional hazards measurement error model
Li-Pang Chen and Grace Y. Yi
Statistical inference for natural language processing algorithms when predicting type 2 diabetes using electronic health record notes
Brian L. Egleston, Tian Bai, Richard J. Bleicher, Taylor Stanford, Michael Lutz, and Slobodan Vucetic
Compositional knockoff filter for high-dimensional regression analysis of microbiome data
Arun Srinivasan, Lingzhou Xue, and Xiang Zhan
Variance estimation in inverse probability weighted Cox models
Di Shu, Jessica Young, Sengwee Toh, and Rui Wang
Joint Penalized Spline Modeling of Multivariate Longitudinal Data, with Application to HIV-1 RNA Load Levels and CD4 Cell Counts
Lihui Zhao, Tom Chen, Vladimir Novitsky, and Rui Wang
Tailored optimal post-treatment surveillance for cancer recurrence
Rui Chen and Menggang Yu
Bayesian compositional regression with structured priors for microbiome feature selection
Liangliang Zhang, Yushu Shi, Robert R. Jenq, Kim-Anh Do, and Christine B. Peterson
Cross-component registration for multivariate functional data, with application to growth curves
Cody Carroll, Hans-Georg Müller, and Alois Kneip
Cluster non-Gaussian functional data
Qingzhi Zhong, Huazhen Lin, and Yi Li
Ultra-high dimensional semiparametric longitudinal data analysis
Brittany Green, Heng Lian, Yan Yu, and Tianhai Zu
A weak-signal-assisted procedure for variable selection and statistical inference with an informative subsample
Fang Fang, Jiwei Zhao, S. Ejaz Ahmed, and Annie Qu
A Bayesian adaptive Phase I/II clinical trial design with late-onset competing risk outcomes
Yifei Zhang, Sha Cao, Chi Zhang, Ick Hoon Jin, and Yong Zang
Causal mediation of semicompeting risks
Yen-Tsung Huang
Discussion on "Causal mediation of semicompeting risks" by Yen-Tsung Huang
Kwun Chuen Gary Chan, Fei Gao, and Fan Xia
Multimodal neuroimaging data integration and pathway analysis
Yi Zhao, Lexin Li, and Brian S. Caffo
Bayesian variable selection for non-Gaussian responses: A marginally-calibrated Copula approach
Nadja Klein and Michael Stanley Smith
Covariate-driven factorization by thresholding for multi-block data
Xing Gao, Sungwon Lee, Gen Li, and Sungkyu Jung
Nonparametric trend estimation in functional time series with application to annual mortality rates
Israel Martínez-Hernández and Marc G. Genton
Regularized matrix data clustering and its application to image analysis
Xu Gao, Weining Shen, Liwen Zhang, Jianhua Hu, Norbert J. Fortin, Ron D. Frostig, and Hernando Ombao
A batch-effect adjusted Simon’s two-stage design for cancer vaccine clinical studies
Chenguang Wang, Zhixin Wang, Gary L. Rosner, Warner K. Huh, Richard B.S. Roden, and Sejong Bae
Combining primary cohort data with external aggregate information without assuming comparability
ZiqiChen, Jing Ning, Yu Shen, and Jing Qin
Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data
Sangwon Hyun, Kevin Z. Lin, Max G'Sell, and Ryan J. Tibshirani
Scalable and robust latent trajectory class analysis using artificial likelihood
Kari R. Hart, Teng Fei, and John J. Hanfelt
Estimation of conditional power for cluster-randomized trials with interval-censored endpoints
Kaitlyn A. Cook, and Rui Wang
Brain connectivity alteration detection via matrix-variate differential network model
Jiadong Ji, Yong He, Lei Liu, and Lei Xie
Receiver operating characteristic curves and confidence bands for support vector machines
Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, and Michael R. Kororok
Histopathological imaging-based cancer heterogeneity analysis via penalized fusion with model averaging
Baihua He, Tingyan Zhong, Jian Huang, Yanyan Liu, Qingzhao Zhang, and Shuangge Ma
A random covariance model for bi-level graphical modeling with application to resting-state fMRI data
Lin Zhang, Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, and Wei Pan
Modeling excess hazard with time-to-cure as a parameter.
Olayidé Boussari, Laurent Bordes, Gaëlle Romain, Marc Colonna, Nadine Bossard, Laurent Remontet, and Valérie Jooste
Nonparametric matrix response regression with application to brain imaging data analysis
Wei Hu, Tianyu Pan, Dehan Kong, and Weining Shen
Penalized Fieller’s confidence interval for the ratio of bivariate normal means
Peng Wang, Siqi Xu, Yixin Wang, Baolin Wu, Wing Kam Fung, Guimin Gao, Zhijiang Liang, and Nianjun Liu
Semiparametric partial common principal component analysis for covariance matrices
Bingkai Wang, Xi Luo, Yi Zhao, and Brian Caffo
Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero
Jing Cheng and Dylan S. Small
Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials
Nima S. Hejazi, Mark J. van der Laan, Holly E.Janes, Peter B. Gilbert, and David C. Benkeser
Evaluating multiple surrogate markers with censored data
Layla Parast, Tianxi Cai, and Lu Tian
A stacked approach for chained equations multiple imputation incorporating the substantive model
Lauren J. Beesley and Jeremy M. G. Taylor
A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts
Johannes Bracher and Leonhard Held
Using the “hidden” genome to improve classification of cancer types
Saptarshi Chakraborty, Colin B. Begg, and Ronglai Shen
Evaluating and improving a matched comparison of antidepressants and bone density
Ruoqi Yu
Net benefit index: assessing the influence of a biomarker for individualized treatment rules
Yiwang Zhou, Peter X.K. Song, and Haoda Fu
Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data
Toby Kenney, Hong Gu, and Tianshu Huang
Modelling sparse longitudinal data on Riemannian manifolds
Xiongtao Dai, Zhenhua Lin, and Hans-Georg Mueller
Non-parametric cluster significance testing with reference to a unimodal null distribution
Erika S. Helgeson, David M. Vock, and Eric Bair
Child mortality estimation incorporating summary birth history data
Katie Wilson and Jon Wakefield
Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes
David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum
A class of proportional win-fractions regression models for composite outcomes
Lu Mao and Tuo Wang
A Bayesian approach to restricted latent class models for scientifically-structured clustering of multivariate binary outcomes
Zhenke Wu, Livia Casciola-Rosen, Antony Rosen, and Scott L. Zeger
A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model
Peijie Wang, Danning Li, and Jianguo Sun
Robust methods to correct for measurement error when evaluating a surrogate marker
Layla Parast, Tanya P. Garcia, Ross L. Prentice, and Raymond J. Carroll
Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring
Fengting Yi, Niansheng Tang, and Jianguo Sun
A non-parametric Bayesian model for estimating spectral densities of resting-state EEG twin data
Brian Hart, Michele Guindani, Stephen Malone, and Mark Fiecas
New multivariate tests for assessing covariate balance in matched observational studies
Hao Chen and Dylan S. Small
Identifying individual predictive factors for treatment efficacy
Ariel Alonso, Wim Van der Elst, Lizet Sanchez, Patricia Luaces, and Geert Molenberghs
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
A closed max-t test for multiple comparisons of areas under the ROC curve
Paul Blanche, Jean-Francois Dartigues, and Jeremie Riou
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
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification
Lauren J. Beesley and Bhramar Mukherjee
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models
Sean Yiu and Li Su
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 latent capture history model for digital aerial surveys
D. L. Borchers, P. Nightingale, B. C. Stevenson, and R. M. Fewster
Non-linear mediation analysis with high-dimensional mediators whose causal structure is unknown
Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys, and Stijn Vansteelandt
Power and sample size for observational studies of point exposure effects
Bonnie E. Shook-Sa and Michael G. Hudgens
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
Obtaining optimal cutoff values for tree classifiers using multiple biomarkers
Yuxin Zhu and Mei-Cheng Wang
Modelling group movement with behavior switching in continuous time
Mu Niu, Fay Frost, Jordan Milner, Anna Skarin, and Paul G. Blackwell
Semiparametric imputation using conditional Gaussian mixture models under item nonresponse
Danhyang Lee and Jae Kwang Kim
Two robust tools for inference about causal effects with invalid instruments
Hyunseung Kang, Youjin Lee, T. Tony Cai, and Dylan S. Small
Biased estimation with shared parameter models in the presence of competing dropout mechanisms
Edward F. Vonesh and Tom Greene
Restricted mean survival time as a function of restriction time
Yingchao Zhong and Douglas Earl Schaubel
Generalized multi-SNP mediation intersection-union test
Wujuan Zhong, Toni Darville, Xiaojing Zheng, Jason Fine, and Yun Li
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
A spatial Bayesian latent factor model for image-on-image regression
Cui Guo, Jian Kang, and Timothy D. Johnson
Simultaneous confidence intervals for ranks with application to ranking institutions
Diaa Al Mohamad, Jelle Goeman, and Erik van Zwet
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
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
Two-stage penalized regression screening to detect biomarker-treatment interactions in randomized clinical trials
Jixiong Wang, Ashish Patel, James Wason, and Paul Newcombe
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
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
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
Density estimation for circular data observed with errors
Marco Di Marzio, Stefania Fensore, Agnese Panzera, and Charles Taylor
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
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
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