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	40
Generating Designs for Comparative Experiments with Two Blocking Factors	36
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	27
A Cross-Validation Statistical Framework for Asymmetric Data Integration	23
Testing for Heterogeneity in the Utility of a Surrogate Marker	23
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	22
Interim monitoring in sequential multiple assignment randomized trials	20
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	19
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	19
Bayesian pathway analysis over brain network mediators for survival data	19
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	19
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	17
A Bayesian framework for causal analysis of recurrent events with timing misalignment	17
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	17
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	17
Acknowledgment of Referees 2024	16
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	15
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	15
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	14
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	14
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	14
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	14
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	13
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	13

Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	13
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	12
A positivity robust strategy to study effects of switching treatment	12
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	12
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	12
Estimation of separable direct and indirect effects in continuous time	12
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	12
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	12
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	12
Causal inference for time-to-event data with a cured subpopulation	11
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	11
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	11
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	11
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	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
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
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Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	10
Case-crossover designs and overdispersion with application to air pollution epidemiology	10
A monotone single index model for spatially referenced multistate current status data	10
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	10
Bias correction models for electronic health records data in the presence of non-random sampling	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
Randomized phase II selection design with order constrained strata	10
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	10
Issue Information	10
A linear mixed model to estimate COVID‐19‐induced excess mortality	9
Sensitivity analyses informed by tests for bias in observational studies	9
A flexible framework for spatial capture-recapture with unknown identities	9
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	9
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	9
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	9
A Second Evidence Factor for a Second Control Group	9
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	9
Heterogeneous latent transfer learning in Gaussian graphical models	8
Closed Testing with Globaltest, with Application in Metabolomics	8
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	8
Zero-Inflated Poisson Models with Measurement Error in the Response	8
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	8
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials	8
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	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
Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases	8
A Formal Causal Interpretation of the Case-Crossover Design	7
Conformal predictive intervals in survival analysis: a resampling approach	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
Causal inference with cross-temporal design	7
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	7

Longitudinal varying coefficient single-index model with censored covariates	7
Direct and indirect treatment effects in the presence of semicompeting risks	7
Report of the Editors—2022	7
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	7
Statistical inference on change points in generalized semiparametric segmented models	7
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	7
Correction to: Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression	6
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	6
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
On restricted mean time in favor of treatment	6
Statistical issues in drug development, third edition. Stephen S.SennNew Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7.	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Two-phase designs with failure time processes subject to nonsusceptibility	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 “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	6
Valid and efficient inference for nonparametric variable importance in two-phase studies	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Discrete-time competing-risks regression with or without penalization	6
High-dimensional multi-study multi-modality covariate-augmented generalized factor model	6
Optimal adaptive SMART designs with binary outcomes	6
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	6
Multiple tests for restricted mean time lost with competing risks data	6
Composite dyadic models for spatio-temporal 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
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions	5
A Repeated Measures Approach to Pooled and Calibrated Biomarker Data	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	5
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
Covariate adjustment in continuous biomarker assessment	5
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	5
CASANOVA: Permutation inference in factorial survival designs	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	5
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	5
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	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
Hospital Profiling Using Bayesian Decision Theory	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
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
Statistical inference on the relative risk following covariate-adaptive randomization	5
Assessing Intervention Effects in a Randomized Trial Within a Social Network	5
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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
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	5
Instrumental Variable Estimation of the Causal Hazard Ratio	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
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	4
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	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
Using instrumental variables to address unmeasured confounding in causal mediation analysis	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
Large-scale survival analysis with a cure fraction	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	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
Sufficient dimension reduction for populations with structured heterogeneity	4
Finding Influential Subjects in a Network Using a Causal Framework	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
Robust and efficient semi-supervised learning for Ising model	4

Issue Information	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
Bayesian multiple index models for environmental mixtures	4
Distance weighted directional regression for Fréchet sufficient dimension reduction	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	4
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	4
Report of the editors—2021	4
Generalized case‐control sampling under generalized linear models	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Supervised Convex Clustering	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	4
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
Joint Gene Network Construction by Single-Cell RNA Sequencing Data	3
Deep partially linear cox model for current status data	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	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
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	3
Joint Semiparametric Models for Case-Cohort Designs	3
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	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
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	3
Unit information Dirichlet process prior	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale	3
Misdiagnosis-Related Harm Quantification Through Mixture Models and Harm Measures	3
On network deconvolution for undirected graphs	3
Concordance Indices with Left-Truncated and Right-Censored Data	3
Leveraging independence in high-dimensional mixed linear regression	3
Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight	3
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
Acknowledgments Referees 2021	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
Rejoinder to the discussion on “Continuous-space occupancy models”	3
Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”	3
Composite likelihood inference for space-time point processes	3
Addressing selection bias in cluster randomized experiments via weighting	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Optimal Multiple Testing and Design in Clinical Trials	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
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Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	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
Statistics for making decisions by Nicholas T.LongfordBoca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 307. $96	3
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
Sensitivity analysis for studies transporting prediction models	3
Regularized principal spline functions to mitigate spatial confounding	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3