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	34
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?	26
Generating Designs for Comparative Experiments with Two Blocking Factors	21
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
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	20
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	19
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	17
Bayesian pathway analysis over brain network mediators for survival data	16
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	16
A Bayesian framework for causal analysis of recurrent events with timing misalignment	16
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	16
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	15
Acknowledgment of Referees 2024	15
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	15
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics	14
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	14
Multidimensional molecular measurements–environment interaction analysis for disease outcomes	14
Interim monitoring in sequential multiple assignment randomized trials	13
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	12
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	12
A Cross-Validation Statistical Framework for Asymmetric Data Integration	12
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	12

Testing for Heterogeneity in the Utility of a Surrogate Marker	12
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	12
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	12
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	12
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	11
Bias correction models for electronic health records data in the presence of non-random sampling	11
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,	11
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	11
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	11
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	11
Randomized phase II selection design with order constrained strata	11
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	11
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	10
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	10
Issue Information	10
Case-crossover designs and overdispersion with application to air pollution epidemiology	10
Estimation of separable direct and indirect effects in continuous time	10
Causal inference for time-to-event data with a cured subpopulation	10
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	10
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	10
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Zero-Inflated Poisson Models with Measurement Error in the Response	9
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	9
Robust data integration from multiple external sources for generalized linear models with binary outcomes	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
A Second Evidence Factor for a Second Control Group	9
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	9
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	9
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	9
A flexible framework for spatial capture-recapture with unknown identities	9
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	9
A linear mixed model to estimate COVID‐19‐induced excess mortality	8
Closed Testing with Globaltest, with Application in Metabolomics	8
Longitudinal varying coefficient single-index model with censored covariates	8
Statistical methods for survival trial design—With applications to cancer clinical trials using R by JianrongWu, CRC Press, 2018, ISBN 9780367734329	8
Heterogeneous latent transfer learning in Gaussian graphical models	8
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	8
Report of the Editors—2022	8
Sensitivity analyses informed by tests for bias in observational studies	8
A causal inference framework for leveraging external controls in hybrid trials	8
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	8
Statistical inference on change points in generalized semiparametric segmented models	8
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	7
Another look at regression analysis using ranked set samples with application to an osteoporosis study	7
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	7
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	7
On restricted mean time in favor of treatment	7

Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded	7
Causal inference with cross-temporal design	7
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	7
Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity	7
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Direct and indirect treatment effects in the presence of semicompeting risks	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
Statistical issues in drug development, third edition. Stephen S.SennNew Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7.	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
Composite dyadic models for spatio-temporal data	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
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
A Formal Causal Interpretation of the Case-Crossover Design	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Optimal adaptive SMART designs with binary outcomes	6
Discrete-time competing-risks regression with or without penalization	6
Conformal predictive intervals in survival analysis: a resampling approach	6
CASANOVA: Permutation inference in factorial survival designs	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
Covariate adjustment in continuous biomarker assessment	5
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	5
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	5
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	5
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
A Repeated Measures Approach to Pooled and Calibrated Biomarker Data	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
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	5
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	5
The central role of the identifying assumption in population size estimation	5
Hospital Profiling Using Bayesian Decision Theory	5
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Instrumental Variable Estimation of the Causal Hazard Ratio	5
Estimating the size of a closed population by modeling latent and observed heterogeneity	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	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
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	5
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
Finding Influential Subjects in a Network Using a Causal Framework	4
Issue Information	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
Analysis of local sensitivity to nonignorability with missing outcomes and predictors	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
Bayesian multiple index models for environmental mixtures	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	4
Assessing Intervention Effects in a Randomized Trial Within a Social Network	4
Distance weighted directional regression for Fréchet sufficient dimension reduction	4
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	4
Unit information Dirichlet process prior	4
Composite likelihood inference for space-time point processes	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Sample size formula for general win ratio analysis	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
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
Large-scale survival analysis with a cure fraction	4
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4
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Robust and efficient semi-supervised learning for Ising model	4
Supervised Convex Clustering	4
Report of the editors—2021	4
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	4

Addressing selection bias in cluster randomized experiments via weighting	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
Generalized case‐control sampling under generalized linear models	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Hierarchical cancer heterogeneity analysis based on histopathological imaging features	4
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	4
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Joint Semiparametric Models for Case-Cohort Designs	3
Statistics for making decisions by Nicholas T.LongfordBoca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 307. $96	3
Towards automated animal density estimation with acoustic spatial capture-recapture	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
On network deconvolution for undirected graphs	3
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator	3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	3
Sensitivity analysis for studies transporting prediction models	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
Rejoinder to the discussion on “Continuous-space occupancy models”	3
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	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
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
Causal mediation of semicompeting risks	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Leveraging independence in high-dimensional mixed linear regression	3
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale	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
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Sufficient dimension reduction for populations with structured heterogeneity	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
Deep partially linear cox model for current status data	3
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Nonparametric and Semiparametric Estimation with Sequentially Truncated Survival Data	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3