Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	33
Generating Designs for Comparative Experiments with Two Blocking Factors	30
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	30
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	30
A Cross-Validation Statistical Framework for Asymmetric Data Integration	27
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	26
Bayesian pathway analysis over brain network mediators for survival data	22
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	21
Acknowledgment of Referees 2024	18
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	17
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	16
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	16
A Bayesian framework for causal analysis of recurrent events with timing misalignment	15
Scalable and distributed individualized treatment rules for multicenter datasets	15
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	15
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	15
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	15
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	15
Randomized phase II selection design with order constrained strata	14
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	14
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	14
Case-crossover designs and overdispersion with application to air pollution epidemiology	14
Bias correction models for electronic health records data in the presence of non-random sampling	14
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	14
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	14

A group distributional ICA method for decomposing multi-subject diffusion tensor imaging	13
Intensive longitudinal analysis of human processes by Kathleen M. Gates, Sy-Miin Chow, and Peter C. M. Molenaar, Chapman & Hall, 2023, ISBN: 9781482230598 https://www.routledge.com/Intensive-longi	13
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	13
A positivity robust strategy to study effects of switching treatment	13
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	13
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	12
A monotone single index model for spatially referenced multistate current status data	12
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	12
Distal causal excursion effects: modeling long-term effects of time-varying treatments in micro-randomized trials	12
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	12
Causal inference for time-to-event data with a cured subpopulation	11
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	11
A framework for causal estimand selection under positivity violations	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	10
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	10
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	10
Rejoinder to reader reaction “Comment on ‘Double robust conditional independence test for novel biomarkers given established risk factors with survival data’ by Lucas Kook”	10
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	10
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	9
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Homogeneity pursuit and variable selection in regression models for multivariate abundance data	9
A flexible framework for spatial capture-recapture with unknown identities	9
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	8
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	8
A Second Evidence Factor for a Second Control Group	8
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	8
Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases	8
A causal inference framework for leveraging external controls in hybrid trials	8
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	8
Robust data integration from multiple external sources for generalized linear models with binary outcomes	8
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials	8
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	8
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	8
Heterogeneous latent transfer learning in Gaussian graphical models	8
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	8
Textbook of Medical Statistics	7
Closed Testing with Globaltest, with Application in Metabolomics	7
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	7
Report of the Editors—2022	7
Estimation of mixed-effects ordinary differential equation models linear in the parameters	7
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	7
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	7
A Formal Causal Interpretation of the Case-Crossover Design	7
Valid and efficient inference for nonparametric variable importance in two-phase studies	7
Statistical inference on change points in generalized semiparametric segmented models	7
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	7
Conformal predictive intervals in survival analysis: a resampling approach	7
Multiple tests for restricted mean time lost with competing risks data	7
Statistical Methods in Epilepsy	7

The Statistical Analysis of Small Data Sets	7
Inference for microbe–metabolite association networks using a latent graph model	7
Causal inference with cross-temporal design	7
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	7
Statistical issues in drug development, third edition. Stephen S.SennNew Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7.	7
Longitudinal varying coefficient single-index model with censored covariates	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
Direct and indirect treatment effects in the presence of semicompeting risks	7
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
A semiparametric Gaussian Mixture Model with spatial dependence and its application to whole-slide image clustering analysis	6
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	6
Biostatistics for Bioassay	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
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	6
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
High-dimensional multi-study multi-modality covariate-augmented generalized factor model	6
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	6
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Measurement error-robust causal inference via constructed instrumental variables	6
Correction to: Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression	6
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions	6
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	6
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	6
Discrete-time competing-risks regression with or without penalization	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Optimal adaptive SMART designs with binary outcomes	6
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Composite dyadic models for spatio-temporal data	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	6
Estimating the size of a closed population by modeling latent and observed heterogeneity	5
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	5
The central role of the identifying assumption in population size estimation	5
A First Course in Causal Inference	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	5
Distance weighted directional regression for Fréchet sufficient dimension reduction	5
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
Hospital Profiling Using Bayesian Decision Theory	5
A general framework for heterogeneous variable importance: Pointwise and uniform inference	5
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	5
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	5
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	5
Super learner for survival prediction in case-cohort and generalized case-cohort studies	5
Bayesian inference: theory, methods, computations by Silvelyn Zwanzig and Rauf Ahmad, Chapman & Hall/CRC, 2024, ISBN: 9781003221623, https://www.routledge.com/Bayesian-Inference-Theory-Methods-Com	5
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	5
Large row-constrained supersaturated designs for high-throughput screening	5
Analysis of cross-platform health communication with a network approach	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
A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolution	5
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	5
Using instrumental variables to address unmeasured confounding in causal mediation analysis	4
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	4
Supervised Convex Clustering	4
Writing grant proposals in epidemiology, preventive medicine, and biostatistics Lisa Chasan-Taber, CRC Press: Boca Raton FL. 2022. https://doi.org/10.1201/9781003155140	4
Correction to: A novel statistical test for treatment differences in clinical trials using a response-adaptive forward-looking Gittins Index Rule	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Robust and efficient semi-supervised learning for Ising model	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects	4
Correction to: Continuous-time mediation analysis for repeatedly measured mediators and outcomes	4
Rejoinder to the discussion on “Continuous-space occupancy models”	4
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
Issue Information	4

Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
Multiple-index interaction models to accommodate exposure grouping in environmental mixtures	4
Large-scale survival analysis with a cure fraction	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	4
Composite likelihood inference for space-time point processes	4
Unit information Dirichlet process prior	4
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	4
Bayesian nowcasting for delay adjustments using time-varying parametric functions of cumulative reporting probability	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	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
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
Double robust conditional independence test for novel biomarkers given established risk factors with survival data	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	4
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	4
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
An adaptive design for optimizing treatment assignment in randomized clinical trials	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	3
Structuring, sequencing, staging, selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	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
Rejoinder to the discussion on ‘Causal inference with misspecified network interference structure’	3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Optimal Multiple Testing and Design in Clinical Trials	3
A regularized continuous-time hidden Markov model for identifying latent state transition patterns of poly-tobacco use	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
Stable survival extrapolation using mortality projections	3
Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard	3
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	3
Learning optimal early decision treatment rules with multi-domain intermediate outcomes	3
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
Censoring-robust estimation in fixed sample time-to-event clinical trials with adaptive randomization	3
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Gene expression data analysis: a statistical and machine learning perspective. PankajBarah, DhrubaKumar Bhattacharyya, JugalKumar Kalita (2022). Boca Raton, Florida and London. CRC Press; Taylor and F	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	3
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
Towards automated animal density estimation with acoustic spatial capture-recapture	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
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	3
On network deconvolution for undirected graphs	3
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight	3
Sensitivity analysis for studies transporting prediction models	3
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Joint Semiparametric Models for Case-Cohort Designs	3
Deep partially linear cox model for current status data	3
Finding Influential Subjects in a Network Using a Causal Framework	3
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
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Variable selection in functional linear Cox model	3
Reduced varying coefficient models for regional quantile regression with multiple responses	3
OPERA: a new algorithm for patient stratification based on partially ordered risk factors	3
Regularized principal spline functions to mitigate spatial confounding	3
Leveraging independence in high-dimensional mixed linear regression	3
Concordance Indices with Left-Truncated and Right-Censored Data	3
Sample Sizes for Clinical Trials (second edition)	2
Doubly robust proximal synthetic controls	2
Post-selection inference in regression models for group testing data	2
Clarifying the role of the Mantel–Haenszel risk difference estimator in randomized clinical trials	2
Discussion on “A Formal Causal Interpretation of the Case-Crossover Design” by Zach Shahn, Miguel A. Hernán, and James M. Robins	2
PDC-MAKES: a conditional screening method for controlling false discoveries in high-dimensional multi-response setting	2
Constructing Time-Invariant Dynamic Surveillance Rules for Optimal Monitoring Schedules	2
Sparse ordinal discriminant analysis	2
On Generalized Latent Factor Modeling and Inference for High-Dimensional Binomial Data	2
Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data	2
Principal stratification analysis of noncompliance with time-to-event outcomes	2
Efficient and Robust Approaches for Analysis of Sequential Multiple Assignment Randomized Trials: Illustration Using the ADAPT-R Trial	2
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data	2
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes	2
Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates	2
COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies	2
Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data	2
Bayesian randomized basket trial design: a case study from the ultra-rare invasive mold infections	2
Dimension Reduction for Integrative Survival Analysis	2
Continuous-time mediation analysis for repeatedly measured mediators and outcomes	2
Fundamental statistical concepts and techniques in the biological and environmental sciences by A. Bradley Duthie, Chapman & Hall/CRC, 2024, ISBN: 9781032692388 https://doi.org/10.1201/97810326923	2
Marginal Proportional Hazards Models for Clustered Interval-Censored Data with Time-Dependent Covariates	2
High-dimensional partially linear functional Cox models	2
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	2
Exact-Corrected Confidence Interval for Risk Difference in Noninferiority Binomial Trials	2
Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors	2
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments	2