Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	45
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	39
Generating Designs for Comparative Experiments with Two Blocking Factors	29
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	26
A Bayesian framework for causal analysis of recurrent events with timing misalignment	23
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	22
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	21
Bayesian pathway analysis over brain network mediators for survival data	20
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	20
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	20
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	19
Acknowledgment of Referees 2024	16
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	16
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	16
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	15
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	14
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	14
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	14
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	14
Testing for Heterogeneity in the Utility of a Surrogate Marker	13
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	13
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	13
A Cross-Validation Statistical Framework for Asymmetric Data Integration	13
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	12
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	12

Randomized phase II selection design with order constrained strata	12
Causal inference for time-to-event data with a cured subpopulation	12
Case-crossover designs and overdispersion with application to air pollution epidemiology	11
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	11
A positivity robust strategy to study effects of switching treatment	11
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	11
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	11
A group distributional ICA method for decomposing multi-subject diffusion tensor imaging	11
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	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
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	11
Bias correction models for electronic health records data in the presence of non-random sampling	11
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	11
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	10
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	10
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	10
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	10
A monotone single index model for spatially referenced multistate current status data	10
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	10
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	9
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	9
A flexible framework for spatial capture-recapture with unknown identities	9
Distal causal excursion effects: modeling long-term effects of time-varying treatments in micro-randomized trials	9
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Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	9
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	8
A Second Evidence Factor for a Second Control Group	8
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	8
Heterogeneous latent transfer learning in Gaussian graphical models	8
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	8
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	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 data integration from multiple external sources for generalized linear models with binary outcomes	8
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	8
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials	8
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	8
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	7
Zero-Inflated Poisson Models with Measurement Error in the Response	7
A Formal Causal Interpretation of the Case-Crossover Design	7
A linear mixed model to estimate COVID‐19‐induced excess mortality	7
Issue Information	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
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
Report of the Editors—2022	7
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	6
Statistical inference on change points in generalized semiparametric segmented models	6
Conformal predictive intervals in survival analysis: a resampling approach	6
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	6

ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	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
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	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
Longitudinal varying coefficient single-index model with censored covariates	6
Valid and efficient inference for nonparametric variable importance in two-phase studies	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Causal inference with cross-temporal design	6
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	6
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Optimal adaptive SMART designs with binary outcomes	6
Discrete-time competing-risks regression with or without penalization	6
Multiple tests for restricted mean time lost with competing risks data	6
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	6
Direct and indirect treatment effects in the presence of semicompeting risks	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Closed Testing with Globaltest, with Application in Metabolomics	6
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
A Repeated Measures Approach to Pooled and Calibrated Biomarker Data	5
Composite dyadic models for spatio-temporal data	5
Correction to: Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression	5
Instrumental Variable Estimation of the Causal Hazard Ratio	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	5
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	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
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
High-dimensional multi-study multi-modality covariate-augmented generalized factor model	5
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions	5
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	5
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
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
The central role of the identifying assumption in population size estimation	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	5
Hospital Profiling Using Bayesian Decision Theory	5
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	5
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	5
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
Covariate adjustment in continuous biomarker assessment	5
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
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Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	4
Issue Information	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
Double robust conditional independence test for novel biomarkers given established risk factors with survival data	4
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	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
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
Finding Influential Subjects in a Network Using a Causal Framework	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	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
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Supervised Convex Clustering	4
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
Distance weighted directional regression for Fréchet sufficient dimension reduction	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	4

Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	4
Large-scale survival analysis with a cure fraction	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
Report of the editors—2021	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	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
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Robust and efficient semi-supervised learning for Ising model	4
On network deconvolution for undirected graphs	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	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
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	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
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Deep partially linear cox model for current status data	3
Composite likelihood inference for space-time point processes	3
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
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Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
Addressing selection bias in cluster randomized experiments via weighting	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Nonparametric and Semiparametric Estimation with Sequentially Truncated Survival Data	3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
Rejoinder to the discussion on “Continuous-space occupancy models”	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	3
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Joint Semiparametric Models for Case-Cohort Designs	3
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Sensitivity analysis for studies transporting prediction models	3
Unit information Dirichlet process prior	3
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	3
Leveraging independence in high-dimensional mixed linear regression	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes	2
Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data	2
COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies	2
Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors	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
A likelihood approach to incorporating self-report data in HIV recency classification	2
Dimension Reduction for Integrative Survival Analysis	2
Generalized Propensity Score Approach to Causal Inference with Spatial Interference	2
Evaluating Treatment Effects in Group Sequential Multivariate Longitudinal Studies with Covariate Adjustment	2
Probability Modeling and Statistical Inference in Cancer Screening by Dongfeng Wu, Chapman and Hall/CRC Biostatistics Series, 2024, ISBN: 9781032513300 https://www.routledge.com/Probability-Modeling-a	2
Estimating optimally tailored active surveillance strategy under interval censoring	2
A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes	2
Exact-Corrected Confidence Interval for Risk Difference in Noninferiority Binomial Trials	2
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments	2
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data	2
Sparse ordinal discriminant analysis	2
Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin	2
Clarifying the role of the Mantel–Haenszel risk difference estimator in randomized clinical trials	2
Efficient data integration under prior probability shift	2
A generalized logrank-type test for comparison of treatment regimes in sequential multiple assignment randomized trials	2
Revisiting optimal allocations for binary responses: insights from considering type-I error rate control	2
Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood	2
Continuous-time mediation analysis for repeatedly measured mediators and outcomes	2
Estimating weighted quantile treatment effects with missing outcome data by double sampling	2
High-dimensional partially linear functional Cox models	2
Bayesian Sample Size Calculations for Comparing Two Strategies in SMART Studies	2
Discussion on “A Formal Causal Interpretation of the Case-Crossover Design” by Zach Shahn, Miguel A. Hernán, and James M. Robins	2
Principal stratification analysis of noncompliance with time-to-event outcomes	2
Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates	2
Constructing Time-Invariant Dynamic Surveillance Rules for Optimal Monitoring Schedules	2
Post-selection inference in regression models for group testing data	2
PDC-MAKES: a conditional screening method for controlling false discoveries in high-dimensional multi-response setting	2
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	2
Bayesian nonparametric quantile process regression and estimation of marginal quantile effects	2
Designing cancer screening trials for reduction in late-stage cancer incidence	2
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	2
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes	2
Bi-Level Structured Functional Analysis for Genome-Wide Association Studies	2