Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	43
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	36
Generating Designs for Comparative Experiments with Two Blocking Factors	27
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	25
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	24
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	22
A Cross-Validation Statistical Framework for Asymmetric Data Integration	21
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	20
A Bayesian framework for causal analysis of recurrent events with timing misalignment	19
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	19
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	19
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	18
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	17
Acknowledgment of Referees 2024	17
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	17
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	16
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	15
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	15
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	14
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	14
Bayesian pathway analysis over brain network mediators for survival data	14
Testing for Heterogeneity in the Utility of a Surrogate Marker	13
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	13
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	13
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	12

Bias correction models for electronic health records data in the presence of non-random sampling	12
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	12
A group distributional ICA method for decomposing multi-subject diffusion tensor imaging	12
A monotone single index model for spatially referenced multistate current status data	12
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	12
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	12
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	12
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	11
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	11
A positivity robust strategy to study effects of switching treatment	11
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	11
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	11
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	11
Causal inference for time-to-event data with a cured subpopulation	10
Discussion on “LEAP: the latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim	10
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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
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	10
Randomized phase II selection design with order constrained strata	10
Case-crossover designs and overdispersion with application to air pollution epidemiology	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
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,	10
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	10
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	9
A flexible framework for spatial capture-recapture with unknown identities	9
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	9
A causal inference framework for leveraging external controls in hybrid trials	9
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	9
Heterogeneous latent transfer learning in Gaussian graphical models	9
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	8
Robust data integration from multiple external sources for generalized linear models with binary outcomes	8
Issue Information	8
A Second Evidence Factor for a Second Control Group	8
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials	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
A linear mixed model to estimate COVID‐19‐induced excess mortality	8
Zero-Inflated Poisson Models with Measurement Error in the Response	8
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	8
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	8
Closed Testing with Globaltest, with Application in Metabolomics	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
Multiple tests for restricted mean time lost with competing risks data	7
A Formal Causal Interpretation of the Case-Crossover Design	7
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	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
Direct and indirect treatment effects in the presence of semicompeting risks	7
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	7
Report of the Editors—2022	7
Valid and efficient inference for nonparametric variable importance in two-phase studies	7

Longitudinal varying coefficient single-index model with censored covariates	7
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	6
Discrete-time competing-risks regression with or without penalization	6
Optimal adaptive SMART designs with binary outcomes	6
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	6
Causal inference with cross-temporal design	6
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	6
Statistics in the public interest: In memory of Stephen E. Fienberg Alicia L. Carriquiry, Judith M. Tanur, William F. Eddy, Margaret L. Smykla (Eds.), New York City: Springer. 2022.	6
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
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	6
Statistical inference on change points in generalized semiparametric segmented models	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
Composite dyadic models for spatio-temporal data	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Conformal predictive intervals in survival analysis: a resampling approach	6
On restricted mean time in favor of treatment	6
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	5
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions	5
CASANOVA: Permutation inference in factorial survival designs	5
The central role of the identifying assumption in population size estimation	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	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
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	5
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	5
High-dimensional multi-study multi-modality covariate-augmented generalized factor model	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
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	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
Covariate adjustment in continuous biomarker assessment	5
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	5
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	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
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Instrumental Variable Estimation of the Causal Hazard Ratio	5
Generalized case‐control sampling under generalized linear models	4
Supervised Convex Clustering	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	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
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Finding Influential Subjects in a Network Using a Causal Framework	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	4
Assessing Intervention Effects in a Randomized Trial Within a Social Network	4
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Robust and efficient semi-supervised learning for Ising model	4
Issue Information	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Report of the editors—2021	4

Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
Bayesian multiple index models for environmental mixtures	4
Large-scale survival analysis with a cure fraction	4
Distance weighted directional regression for Fréchet sufficient dimension reduction	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
Estimated Quadratic Inference Function for Correlated Failure Time Data	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
	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
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
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
Addressing selection bias in cluster randomized experiments via weighting	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Unit information Dirichlet process prior	3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	3
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	3
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
On network deconvolution for undirected graphs	3
Joint Semiparametric Models for Case-Cohort Designs	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
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DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Composite likelihood inference for space-time point processes	3
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Towards automated animal density estimation with acoustic spatial capture-recapture	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	3
Concordance Indices with Left-Truncated and Right-Censored Data	3
Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”	3
Deep partially linear cox model for current status data	3
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	3
Rejoinder to the discussion on “Continuous-space occupancy models”	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
Leveraging independence in high-dimensional mixed linear regression	3
Sensitivity analysis for studies transporting prediction models	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
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	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