Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	46
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	41
Generating Designs for Comparative Experiments with Two Blocking Factors	29
A Bayesian framework for causal analysis of recurrent events with timing misalignment	28
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	24
Bayesian pathway analysis over brain network mediators for survival data	23
Testing for Heterogeneity in the Utility of a Surrogate Marker	23
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	21
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	20
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	20
Acknowledgment of Referees 2024	19
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	17
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	17
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	16
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	15
A Cross-Validation Statistical Framework for Asymmetric Data Integration	15
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	14
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	14
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	14
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	14
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	13
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	13
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	12
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
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	12
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
Case-crossover designs and overdispersion with application to air pollution epidemiology	11
Bias correction models for electronic health records data in the presence of non-random sampling	11
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	11
Homogeneity pursuit and variable selection in regression models for multivariate abundance 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
A positivity robust strategy to study effects of switching treatment	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
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	10
A monotone single index model for spatially referenced multistate current status data	10
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	10
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	10
Distal causal excursion effects: modeling long-term effects of time-varying treatments in micro-randomized trials	10
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	9
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	9
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	9
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	9
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Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	9
A flexible framework for spatial capture-recapture with unknown identities	8
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	8
Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases	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
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
A Second Evidence Factor for a Second Control Group	8
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	8
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	8
Zero-Inflated Poisson Models with Measurement Error in the Response	8
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	7
A causal inference framework for leveraging external controls in hybrid trials	7
A Formal Causal Interpretation of the Case-Crossover Design	7
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	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 data integration from multiple external sources for generalized linear models with binary outcomes	7
Report of the Editors—2022	7
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	7
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	6
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Valid and efficient inference for nonparametric variable importance in two-phase studies	6
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	6

Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	6
Optimal adaptive SMART designs with binary outcomes	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
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	6
Longitudinal varying coefficient single-index model with censored covariates	6
Conformal predictive intervals in survival analysis: a resampling approach	6
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	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
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
Direct and indirect treatment effects in the presence of semicompeting risks	6
Multiple tests for restricted mean time lost with competing risks data	6
Causal inference with cross-temporal design	6
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	6
Closed Testing with Globaltest, with Application in Metabolomics	6
Statistical inference on change points in generalized semiparametric segmented models	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
High-dimensional covariate-augmented overdispersed poisson factor model	5
Covariate adjustment in continuous biomarker assessment	5
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	5
A Repeated Measures Approach to Pooled and Calibrated Biomarker Data	5
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	5
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	5
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	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
Hospital Profiling Using Bayesian Decision Theory	5
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
The central role of the identifying assumption in population size estimation	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Instrumental Variable Estimation of the Causal Hazard Ratio	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
Discrete-time competing-risks regression with or without penalization	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	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
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional 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
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	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
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
Composite dyadic models for spatio-temporal data	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	5
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Robust and efficient semi-supervised learning for Ising model	4
Large-scale survival analysis with a cure fraction	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	4
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	4
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	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
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
Super learner for survival prediction in case-cohort and generalized case-cohort studies	4
Distance weighted directional regression for Fréchet sufficient dimension reduction	4
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	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
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Supervised Convex Clustering	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
	4
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4

Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Issue Information	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	3
Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard	3
Deep partially linear cox model for current status data	3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	3
Nonparametric and Semiparametric Estimation with Sequentially Truncated Survival Data	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Joint Semiparametric Models for Case-Cohort Designs	3
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Finding Influential Subjects in a Network Using a Causal Framework	3
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
Rejoinder to the discussion on “Continuous-space occupancy models”	3
Sensitivity analysis for studies transporting prediction models	3
On network deconvolution for undirected graphs	3
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Addressing selection bias in cluster randomized experiments via weighting	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Composite likelihood inference for space-time point processes	3
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	3
Report of the editors—2021	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Leveraging independence in high-dimensional mixed linear regression	3
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Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	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
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	3
Unit information Dirichlet process prior	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
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	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
High-dimensional partially linear functional Cox models	2
On Interquantile Smoothness of Censored Quantile Regression with Induced Smoothing	2
Leveraging a Surrogate Outcome to Improve Inference on a Partially Missing Target Outcome	2
A Bayesian semiparametric mixture model for clustering zero-inflated microbiome data	2
Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors	2
Frequency band analysis of nonstationary multivariate time series	2
Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates	2
PDC-MAKES: a conditional screening method for controlling false discoveries in high-dimensional multi-response setting	2
Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data	2
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments	2
Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data	2
Discussion on “A Formal Causal Interpretation of the Case-Crossover Design” by Zach Shahn, Miguel A. Hernán, and James M. Robins	2
Designing cancer screening trials for reduction in late-stage cancer incidence	2
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes	2
Estimating optimally tailored active surveillance strategy under interval censoring	2
An Information Ratio-Based Goodness-of-Fit Test for Copula Models on Censored Data	2
Principal stratification analysis of noncompliance with time-to-event outcomes	2
A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations	2
A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes	2
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data	2
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	2
COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies	2
Constructing Time-Invariant Dynamic Surveillance Rules for Optimal Monitoring Schedules	2
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Efficient data integration under prior probability shift	2
Federated double machine learning for high-dimensional semiparametric models	2
Estimating weighted quantile treatment effects with missing outcome data by double sampling	2
Bi-Level Structured Functional Analysis for Genome-Wide Association Studies	2
Misdiagnosis-Related Harm Quantification Through Mixture Models and Harm Measures	2
Bayesian Sample Size Calculations for Comparing Two Strategies in SMART Studies	2
Statistical significance of clustering for count data	2
Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin	2
Optimal Multiple Testing and Design in Clinical Trials	2
Exact-Corrected Confidence Interval for Risk Difference in Noninferiority Binomial Trials	2
Nonparametric Bayesian approach for dynamic borrowing of historical control data	2
Evaluating Treatment Effects in Group Sequential Multivariate Longitudinal Studies with Covariate Adjustment	2
Sparse ordinal discriminant analysis	2
Clarifying the role of the Mantel–Haenszel risk difference estimator in randomized clinical trials	2
Post-selection inference in regression models for group testing data	2
On Generalized Latent Factor Modeling and Inference for High-Dimensional Binomial Data	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
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes	2