Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	48
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	29
Generating Designs for Comparative Experiments with Two Blocking Factors	28
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	26
A Bayesian framework for causal analysis of recurrent events with timing misalignment	24
Bayesian pathway analysis over brain network mediators for survival data	23
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	23
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	21
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	21
Acknowledgment of Referees 2024	17
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	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	16
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	15
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	14
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	14
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	14
A Cross-Validation Statistical Framework for Asymmetric Data Integration	13
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	13
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	13
Case-crossover designs and overdispersion with application to air pollution epidemiology	12
Causal inference for time-to-event data with a cured subpopulation	12
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	12
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 prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	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
A positivity robust strategy to study effects of switching treatment	11
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	11
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	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
A group distributional ICA method for decomposing multi-subject diffusion tensor imaging	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	11
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	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
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	10
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	10
A monotone single index model for spatially referenced multistate current status data	10
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	10
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	10
Heterogeneous latent transfer learning in Gaussian graphical models	9
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,	9
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	9
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	9
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	9
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Distal causal excursion effects: modeling long-term effects of time-varying treatments in micro-randomized trials	9
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	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
Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases	8
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	8
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	8
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	8
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	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
Zero-Inflated Poisson Models with Measurement Error in the Response	8
Robust data integration from multiple external sources for generalized linear models with binary outcomes	7
Report of the Editors—2022	7
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	7
Longitudinal varying coefficient single-index model with censored covariates	7
A causal inference framework for leveraging external controls in hybrid trials	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
Valid and efficient inference for nonparametric variable importance in two-phase studies	7
Direct and indirect treatment effects in the presence of semicompeting risks	7
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	7
Closed Testing with Globaltest, with Application in Metabolomics	7
Conformal predictive intervals in survival analysis: a resampling approach	7
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	7
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Two-phase designs with failure time processes subject to nonsusceptibility	6

Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	6
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	6
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	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
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
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	6
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	6
Causal inference with cross-temporal design	6
Multiple tests for restricted mean time lost with competing risks data	6
Statistical inference on change points in generalized semiparametric segmented models	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	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
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	6
A Formal Causal Interpretation of the Case-Crossover Design	6
Optimal adaptive SMART designs with binary outcomes	6
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	6
High-dimensional covariate-augmented overdispersed poisson factor model	5
Estimating the size of a closed population by modeling latent and observed heterogeneity	5
Super learner for survival prediction in case-cohort and generalized case-cohort studies	5
Large row-constrained supersaturated designs for high-throughput screening	5
The central role of the identifying assumption in population size estimation	5
Instrumental Variable Estimation of the Causal Hazard Ratio	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Composite dyadic models for spatio-temporal data	5
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	5
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	5
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	5
Distance weighted directional regression for Fréchet sufficient dimension reduction	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	5
A semiparametric Gaussian Mixture Model with spatial dependence and its application to whole-slide image clustering analysis	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
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
Statistical inference on the relative risk following covariate-adaptive randomization	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
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	5
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	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
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	5
Analysis of cross-platform health communication with a network approach	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
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
Hospital Profiling Using Bayesian Decision Theory	5
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
Supervised Convex Clustering	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
Robust and efficient semi-supervised learning for Ising model	4
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
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Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Report of the editors—2021	4
Finding Influential Subjects in a Network Using a Causal Framework	4
Double robust conditional independence test for novel biomarkers given established risk factors with survival data	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	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
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	4
Issue Information	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
Large-scale survival analysis with a cure fraction	4

Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
On network deconvolution for undirected graphs	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
Leveraging independence in high-dimensional mixed linear regression	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	3
Structuring, sequencing, staging, selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Censoring-robust estimation in fixed sample time-to-event clinical trials with adaptive randomization	3
Rejoinder to the discussion on “Continuous-space occupancy models”	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
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	3
Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Sensitivity analysis for studies transporting prediction models	3
Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Deep partially linear cox model for current status data	3
Composite likelihood inference for space-time point processes	3
Nonparametric and Semiparametric Estimation with Sequentially Truncated Survival Data	3
Unit information Dirichlet process prior	3
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
A regularized continuous-time hidden Markov model for identifying latent state transition patterns of poly-tobacco use	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
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
Addressing selection bias in cluster randomized experiments via weighting	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
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	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
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Stable survival extrapolation using mortality projections	3
Towards automated animal density estimation with acoustic spatial capture-recapture	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	3
Joint Semiparametric Models for Case-Cohort Designs	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	3
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
Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data	2
Estimating optimally tailored active surveillance strategy under interval censoring	2
Leveraging a Surrogate Outcome to Improve Inference on a Partially Missing Target Outcome	2
Fast Bayesian Inference for Large Occupancy Datasets	2
Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin	2
A Bayesian semiparametric mixture model for clustering zero-inflated microbiome data	2
Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data	2
Estimating weighted quantile treatment effects with missing outcome data by double sampling	2
Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates	2
Sparse ordinal discriminant analysis	2
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments	2
Post-selection inference in regression models for group testing data	2
A likelihood approach to incorporating self-report data in HIV recency classification	2
Federated double machine learning for high-dimensional semiparametric models	2
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes	2
Bi-Level Structured Functional Analysis for Genome-Wide Association Studies	2
Principal stratification analysis of noncompliance with time-to-event outcomes	2
Planning cost-effective operational forest inventories	2
Exact-Corrected Confidence Interval for Risk Difference in Noninferiority Binomial Trials	2
Designing cancer screening trials for reduction in late-stage cancer incidence	2
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data	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
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	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
Continuous-time mediation analysis for repeatedly measured mediators and outcomes	2
Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors	2
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes	2
High-dimensional partially linear functional Cox models	2
A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations	2
Bayesian Sample Size Calculations for Comparing Two Strategies in SMART Studies	2
Cumulative link mixed-effects models in the service of remote sensing crop progress monitoring	2
Discussion on “A Formal Causal Interpretation of the Case-Crossover Design” by Zach Shahn, Miguel A. Hernán, and James M. Robins	2
Evaluating Treatment Effects in Group Sequential Multivariate Longitudinal Studies with Covariate Adjustment	2
A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes	2
COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies	2
On Generalized Latent Factor Modeling and Inference for High-Dimensional Binomial Data	2