Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	35
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	33
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	30
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	24
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	20
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	20
Generating Designs for Comparative Experiments with Two Blocking Factors	20
Testing for Heterogeneity in the Utility of a Surrogate Marker	18
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	18
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	16
A Cross-Validation Statistical Framework for Asymmetric Data Integration	15
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	15
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	15
Bayesian pathway analysis over brain network mediators for survival data	15
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	15
A Bayesian framework for causal analysis of recurrent events with timing misalignment	15
Multidimensional molecular measurements–environment interaction analysis for disease outcomes	14
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics	14
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	13
Interim monitoring in sequential multiple assignment randomized trials	13
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	13
Acknowledgment of Referees 2024	12
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	12
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	12
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	12

Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	12
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	11
Estimation of separable direct and indirect effects in continuous time	11
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	11
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	11
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	11
Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes	11
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	10
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	10
Causal inference for time-to-event data with a cured subpopulation	10
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	10
Bias correction models for electronic health records data in the presence of non-random sampling	10
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	10
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	10
Randomized phase II selection design with order constrained strata	10
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,	10
Case-crossover designs and overdispersion with application to air pollution epidemiology	9
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	9
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	9
Issue Information	9
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	9
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	9
Zero-Inflated Poisson Models with Measurement Error in the Response	9
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	9
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Statistical methods for survival trial design—With applications to cancer clinical trials using R by JianrongWu, CRC Press, 2018, ISBN 9780367734329	9
A linear mixed model to estimate COVID‐19‐induced excess mortality	9
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	8
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	8
Nonparametric estimation in an illness‐death model with component‐wise censoring	8
Longitudinal varying coefficient single-index model with censored covariates	8
A flexible framework for spatial capture-recapture with unknown identities	8
A causal inference framework for leveraging external controls in hybrid trials	8
A Second Evidence Factor for a Second Control Group	8
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	8
Closed Testing with Globaltest, with Application in Metabolomics	8
Heterogeneous latent transfer learning in Gaussian graphical models	8
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	8
Sensitivity analyses informed by tests for bias in observational studies	8
Robust data integration from multiple external sources for generalized linear models with binary outcomes	8
Another look at regression analysis using ranked set samples with application to an osteoporosis study	8
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	8
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	8
Statistical issues in drug development, third edition. Stephen S.SennNew Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7.	7
Statistical inference on change points in generalized semiparametric segmented models	7
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data	7
Direct and indirect treatment effects in the presence of semicompeting risks	7
Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded	7
Causal inference with cross-temporal design	7
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	7

Report of the Editors—2022	7
Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	7
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Statistics in the public interest: In memory of Stephen E. Fienberg Alicia L. Carriquiry, Judith M. Tanur, William F. Eddy, Margaret L. Smykla (Eds.), New York City: Springer. 2022.	6
CASANOVA: Permutation inference in factorial survival designs	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	6
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	6
Bayesian nonparametric for causal inference and missing data by Michael J. Daniels, Antonio Linero, and Jason Roy, CRC Press, 2023 ISBN-13: 978-0367341008, https://www.routledge.com/Bayesian-Nonparame	6
A Formal Causal Interpretation of the Case-Crossover Design	6
On restricted mean time in favor of treatment	6
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Covariate adjustment in continuous biomarker assessment	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
Optimization of sampling designs for pedigrees and association studies	5
Optimal adaptive SMART designs with binary outcomes	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
A transformation‐free linear regression for compositional outcomes and predictors	5
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	5
The central role of the identifying assumption in population size estimation	5
A Repeated Measures Approach to Pooled and Calibrated Biomarker Data	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	5
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	5
Composite dyadic models for spatio-temporal data	5
Statistical inference via data science: A modern dive into R and the Tidyverse, ChesterIsmay and Albert Y.KimBoca Raton, FL: Chapman and Hall/CRC, 2019. pp. 460	5
Instrumental Variable Estimation of the Causal Hazard Ratio	5
Hospital Profiling Using Bayesian Decision Theory	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Discrete-time competing-risks regression with or without penalization	5
Addressing age measurement errors in fish growth estimation from length-stratified samples	5
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	4
Bayesian multiple index models for environmental mixtures	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
Analysis of local sensitivity to nonignorability with missing outcomes and predictors	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4
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Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	4
Estimated Quadratic Inference Function for Correlated Failure Time Data	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	4
A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing	4
Generalized case‐control sampling under generalized linear models	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Large-scale survival analysis with a cure fraction	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
Hierarchical cancer heterogeneity analysis based on histopathological imaging features	4
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	4
Sample size formula for general win ratio analysis	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach	4
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation	4
Assessing Intervention Effects in a Randomized Trial Within a Social Network	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
Issue Information	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3

Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
Causal mediation of semicompeting risks	3
On network deconvolution for undirected graphs	3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	3
Leveraging independence in high-dimensional mixed linear regression	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Regression with interval‐censored covariates: Application to cross‐sectional incidence estimation	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	3
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	3
Addressing selection bias in cluster randomized experiments via weighting	3
Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes	3
Composite likelihood inference for space-time point processes	3
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator	3
Statistics for making decisions by Nicholas T.LongfordBoca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 307. $96	3
Supervised Convex Clustering	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Mixture models: parametric, semiparametric, and new directions by Weixin Yao and Sijia Xiang, Chapman and Hall/CRC, 2024, ISBN: 9780367481827 https://www.routledge.com/Mixture-models-parametric-semipa	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
Deep partially linear cox model for current status data	3
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale	3
Design and Analysis of Pragmatic Trials by Song Zhang, Chul Ahn, Hong Zhu, Chapman and Hall/CRC, 2023, ISBN: 9781003126010https://www.routledge.com/Design-and-Analysis-of-Pragmatic-Trials/Zhang	3
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Unit information Dirichlet process prior	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Report of the editors—2021	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Correction to “Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness,” by Chen, C., Shen, B., Zhang, L., Xue, Y. and Wang, M.; 75(3	3
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Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Finding Influential Subjects in a Network Using a Causal Framework	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Sensitivity analysis for studies transporting prediction models	3
Joint Semiparametric Models for Case-Cohort Designs	3
Writing grant proposals in epidemiology, preventive medicine, and biostatistics Lisa Chasan-Taber, CRC Press: Boca Raton FL. 2022. https://doi.org/10.1201/9781003155140	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Sufficient dimension reduction for populations with structured heterogeneity	3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	2
Asynchronous and Error-Prone Longitudinal Data Analysis via Functional Calibration	2
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	2
Designing cancer screening trials for reduction in late-stage cancer incidence	2
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	2
Logistic regression analysis of two‐phase studies using generalized method of moments	2
Human disease clinical treatment network for the elderly: analysis of the medicare inpatient length of stay and readmission data	2
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Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data	2
A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior	2
Constructing Time-Invariant Dynamic Surveillance Rules for Optimal Monitoring Schedules	2
Rejoinder to “Causal mediation of semicompeting risks”	2
Evaluating Treatment Effects in Group Sequential Multivariate Longitudinal Studies with Covariate Adjustment	2
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments	2
Bayesian nonparametric quantile process regression and estimation of marginal quantile effects	2
Doubly robust proximal synthetic controls	2
Merging or ensembling: integrative analysis in multiple neuroimaging studies	2
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	2
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	2
Principal stratification analysis of noncompliance with time-to-event outcomes	2
Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard	2
A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes	2
Towards automated animal density estimation with acoustic spatial capture-recapture	2
Bi-Level Structured Functional Analysis for Genome-Wide Association Studies	2
Bayesian Sample Size Calculations for Comparing Two Strategies in SMART Studies	2
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes	2
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data	2
Estimating weighted quantile treatment effects with missing outcome data by double sampling	2
Sparse ordinal discriminant analysis	2
	2
On Generalized Latent Factor Modeling and Inference for High-Dimensional Binomial Data	2
Efficient detection and classification of epigenomic changes under multiple conditions	2
Efficient data integration under prior probability shift	2
PDC-MAKES: a conditional screening method for controlling false discoveries in high-dimensional multi-response setting	2
Concordance Indices with Left-Truncated and Right-Censored Data	2
Issue Information	2
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	2
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes	2
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight	2
Addressing patient heterogeneity in disease predictive model development	2
An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data	2
Leveraging a Surrogate Outcome to Improve Inference on a Partially Missing Target Outcome	2
Discussion on “A Formal Causal Interpretation of the Case-Crossover Design” by Zach Shahn, Miguel A. Hernán, and James M. Robins	2
High-dimensional partially linear functional Cox models	2
Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates	2
Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin	2
Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors	2
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small	2
Gaussian processes for time series with lead–lag effects with applications to biology data	2
Semisupervised transfer learning for evaluation of model classification performance	2
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	2
Exact-Corrected Confidence Interval for Risk Difference in Noninferiority Binomial Trials	2