Biometrics

Article	Citations
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes	33
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	31
Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates	30
High-dimensional partially linear functional Cox models	25
Testing Weak Nulls in Matched Observational Studies	23
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Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring	16
Multiwave validation sampling for error‐prone electronic health records	15
Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations	15
A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing	15
Table of Contents	14
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics	14
Binacox: automatic cut‐point detection in high‐dimensional Cox model with applications in genetics	14
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	14
Interim monitoring in sequential multiple assignment randomized trials	14
Bayesian multiple index models for environmental mixtures	14
Evaluating the association between latent classes and competing risks outcomes with multiphenotype data	13
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	13
Functional additive models for optimizing individualized treatment rules	13
Addressing patient heterogeneity in disease predictive model development	12
Issue Information	12
Issue Information	12
The effect: An introduction to research design and causality By NickHuntington‐Klein (2022). New York. Chapman and Hall. https://doi.org/10.1201/9781003226055	12
Logistic regression analysis of two‐phase studies using generalized method of moments	12
Discussion on “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes” by David Benkeser, Ivan Diaz, Ale	11

Hierarchical cancer heterogeneity analysis based on histopathological imaging features	11
Multidimensional molecular measurements–environment interaction analysis for disease outcomes	11
A generalized robust allele‐based genetic association test	10
A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes	10
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Multivariate survival analysis in big data: A divide‐and‐combine approach	10
Sample size formula for general win ratio analysis	10
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Acknowledgment of Referees 2024	9
Competition-Based Control of the False Discovery Proportion	9
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	9
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation	9
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	9
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes	9
Generating Designs for Comparative Experiments with Two Blocking Factors	9
Principal stratification analysis of noncompliance with time-to-event outcomes	9
Additive Subdistribution Hazards Regression for Competing Risks Data in Case-Cohort Studies	9
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	8
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	8
Optimal Sampling for Positive Only Electronic Health Record Data	8
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	8
Discussion on “LEAP: the latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim	8
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	8
Bayesian Sample Size Calculations for Comparing Two Strategies in SMART Studies	8
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	8
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	8
Bayesian pathway analysis over brain network mediators for survival data	8
Designing cancer screening trials for reduction in late-stage cancer incidence	8
The multivariate Bernoulli detector: change point estimation in discrete survival analysis	7
An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables	7
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	7
Joint mirror procedure: controlling false discovery rate for identifying simultaneous signals	7
Estimating the size of a closed population by modeling latent and observed heterogeneity	7
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	7
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis	7
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	7
Feature Screening with Latent Responses	7
Age-Related Model for Estimating the Symptomatic and Asymptomatic Transmissibility of COVID-19 Patients	7
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	7
Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components	7
Generalized Network Structured Models with Mixed Responses Subject to Measurement Error and Misclassification	7
A Bayesian framework for causal analysis of recurrent events with timing misalignment	7
Leveraging a Surrogate Outcome to Improve Inference on a Partially Missing Target Outcome	7
A Robust Approach for Electronic Health Record–Based Case-Control Studies with Contaminated Case Pools	7
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	7
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	7
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	6
Asynchronous and Error-Prone Longitudinal Data Analysis via Functional Calibration	6
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	6
Cross-Trait Prediction Accuracy of Summary Statistics in Genome-Wide Association Studies	6

Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	6
Nonlinear Function-on-Scalar Regression via Functional Universal Approximation	6
Information Criteria for Detecting Change-Points in the Cox Proportional Hazards Model	6
Semi-parametric sensitivity analysis for trials with irregular and informative assessment times	6
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	6
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	6
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	6
Data science for infectious disease data analytics: an introduction with R, by Lily Wang, CRC Press, 2022 ISBN-13: 978-1032187426, https://www.routledge.com/Data-Science-for-Infectious-Disease-Data-An	6
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	6
Discussion of “A Formal Causal Interpretation of the Case-Crossover Design” by Zach Shahn, Miguel A. Hernan, and James M. Robins	6
A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data	5
Changepoint detection on daily home activity pattern: a sliced Poisson process method	5
Two-Level Bayesian Interaction Analysis for Survival Data Incorporating Pathway Information	5
A Bayesian Functional Data Model for Surveys Collected under Informative Sampling with Application to Mortality Estimation Using NHANES	5
Semiparametric sensitivity analysis: unmeasured confounding in observational studies	5
A Cross-Validation Statistical Framework for Asymmetric Data Integration	5
Decomposition of Variation of Mixed Variables by a Latent Mixed Gaussian Copula Model	5
Bi-Level Structured Functional Analysis for Genome-Wide Association Studies	5
Assessing Intervention Effects in a Randomized Trial Within a Social Network	5
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	5
Group sequential testing of a treatment effect using a surrogate marker	5
A Bayesian Platform Trial Design to Simultaneously Evaluate Multiple Drugs in Multiple Indications with Mixed Endpoints	5
Testing for Heterogeneity in the Utility of a Surrogate Marker	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	5
Bayesian Model Selection for Generalized Linear Mixed Models	5
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	5
Quantile Regression for Nonignorable Missing Data with Its Application of Analyzing Electronic Medical Records	5
Introduction to Data Science: Data Analysis and Algorithms with R, By RafaelIrrizarryBoca Raton, FL: CRC Press, 2020. Hard cover. pp. 711.	5
Increasing Efficiency and Reducing Bias When Assessing HPV Vaccination Efficacy by Using Nontargeted HPV Strains	5
Score Test for Missing at Random or Not under Logistic Missingness Models	5
Pair-Switching Rerandomization	5
Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domains	5
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small	5
A Time-Heterogeneous D-Vine Copula Model for Unbalanced and Unequally Spaced Longitudinal Data	5
A Hierarchical Model for Analyzing Multisite Individual-Level Disease Surveillance Data from Multiple Systems	5
Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes	4
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	4
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Improved Inference for Doubly Robust Estimators of Heterogeneous Treatment Effects	4
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	4
Debiased lasso for generalized linear models with a diverging number of covariates	4
Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin	4
Reducing subspace models for large‐scale covariance regression	4
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang	4
Bayesian adaptive trial design for a continuous biomarker with possibly nonlinear or nonmonotone prognostic or predictive effects	4
Issue Information	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
Combining experimental and observational data through a power likelihood	4
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	4
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression	4
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	4
A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior	4
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach	4
Generalized case‐control sampling under generalized linear models	4
Bayesian analysis of infectious diseases ‐ COVID‐19 and beyond, by Lyle BroemelingLyle D.BroemelingBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 330	4
On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime	4
Using R for biostatistics. T. W.MacFarland and J. M.Yates. Springer International Publishing. 2021. ISBN: 978‐3‐030‐62403‐3; 978‐3‐030‐62404‐0 (eBook)	4
Issue Information	4
Flexible use of copula‐type model for dose‐finding in drug combination clinical trials	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4
SAM: Self-Adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials	4
Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns?	4
Analysis of local sensitivity to nonignorability with missing outcomes and predictors	4
A general, flexible, and harmonious framework to construct interpretable functions in regression analysis	4
Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction	4
Rejoinder to “Causal mediation of semicompeting risks”	4
Latent group detection in functional partially linear regression models	4
Fundamentals of Causal Inference With R. Babette A.Brumback.2021. New York: Chapman and Hall/CRC Press. 2021. https://doi.org/10.1201/9781003146674	4
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Penalized Estimation of Frailty-Based Illness–Death Models for Semi-Competing Risks	4
High-dimensional multivariate analysis of variance via geometric median and bootstrapping	3
Incorporating participants’ welfare into sequential multiple assignment randomized trials	3
Estimation of separable direct and indirect effects in continuous time	3
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data	3
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	3
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	3
Modelling publication bias andp‐hacking	3
Analyzing Clustered Continuous Response Variables with Ordinal Regression Models	3

Bayesian Regression Analysis of Skewed Tensor Responses	3
A Seasonality-Adjusted Sequential Test for Vaccine Safety Surveillance	3
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	3
Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data	3
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	3
Discussion of “A Formal Causal Interpretation of the Case-Crossover Design”	3
Causal inference for time-to-event data with a cured subpopulation	3
Handbook of matching and weighting adjustments for causal inference by José R. Zubizarreta, Elizabeth A. Stuart, Dylan S. Small, and Paul R. Rosenbaum, Chapman and Hall/CRC, 2023, ISBN: 9781003102670,	3
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	3
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	3
A Nonparametric Test of Group Distributional Differences for Hierarchically Clustered Functional Data	3
Randomized phase II selection design with order constrained strata	3
Latent Factor Model for Multivariate Functional Data	3
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	3
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	3
Longitudinal Incremental Propensity Score Interventions for Limited Resource Settings	3
Causal effect estimation in survival analysis with high dimensional confounders	3
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	3
Estimating Tree-Based Dynamic Treatment Regimes Using Observational Data with Restricted Treatment Sequences	3
Elastic Analysis of Irregularly or Sparsely Sampled Curves	3
Heterogeneity-aware integrative regression for ancestry-specific association studies	3
Discussion on “LEAP: the latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim	3
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	3
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	3
Adjusting for Publication Bias in Meta-Analysis via Inverse Probability Weighting Using Clinical Trial Registries	3
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	3
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	3
Semiparametric Distributed Lag Quantile Regression for Modeling Time-Dependent Exposure Mixtures	3
Case weighted power priors for hybrid control analyses with time-to-event data	3
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	3
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	3
Case-crossover designs and overdispersion with application to air pollution epidemiology	3
Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data	3
Mendelian randomization: methods for causal inference using genetic variants 2nd edition By Stephen Burgess and Simon G. Thompson. New York: Chapman & Hall. https://doi.org/10.1201/9780429324352	3
Semiparametric Additive Time-Varying Coefficients Model for Longitudinal Data with Censored Time Origin	3