Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	33
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	33
Generating Designs for Comparative Experiments with Two Blocking Factors	32
Bayesian pathway analysis over brain network mediators for survival data	30
Acknowledgment of Referees 2024	27
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	27
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	23
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	21
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	18
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	18
Scalable and distributed individualized treatment rules for multicenter datasets	17
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	17
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	16
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	16
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	15
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	15
Q -Learning with clustered-SMART (cSMART) data: examining moderators in the construction of clustered adaptive interventions	15
A Bayesian framework for causal analysis of recurrent events with timing misalignment	15
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	15
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	14
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	14
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	14
Bias correction models for electronic health records data in the presence of non-random sampling	14
Randomized phase II selection design with order constrained strata	14
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	13

A group distributional ICA method for decomposing multi-subject diffusion tensor imaging	13
A monotone single index model for spatially referenced multistate current status data	13
A positivity robust strategy to study effects of switching treatment	13
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	13
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	13
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	13
Distal causal excursion effects: modeling long-term effects of time-varying treatments in micro-randomized trials	13
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	12
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	12
Case-crossover designs and overdispersion with application to air pollution epidemiology	12
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	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
Joint modeling of multiple longitudinal biomarkers and survival outcomes via threshold regression: variability as a predictor	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
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	10
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	10
Rejoinder to reader reaction “Comment on ‘Double robust conditional independence test for novel biomarkers given established risk factors with survival data’ by Lucas Kook”	9
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	9
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	9
Causal inference for time-to-event data with a cured subpopulation	8
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	8
A Second Evidence Factor for a Second Control Group	8
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	8
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	8
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Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases	8
A flexible framework for spatial capture-recapture with unknown identities	8
Heterogeneous latent transfer learning in Gaussian graphical models	8
A causal inference framework for leveraging external controls in hybrid 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 framework for causal estimand selection under positivity violations	8
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials	8
Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss	8
Robust data integration from multiple external sources for generalized linear models with binary outcomes	8
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	8
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	7
Longitudinal varying coefficient single-index model with censored covariates	7
Report of the Editors—2022	7
Causal inference with cross-temporal design	7
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	7
Estimation of mixed-effects ordinary differential equation models linear in the parameters	7
Statistical Methods in Epilepsy	7
The Statistical Analysis of Small Data Sets	7
Inference for microbe–metabolite association networks using a latent graph model	7
Valid and efficient inference for nonparametric variable importance in two-phase studies	7
Statistical inference on change points in generalized semiparametric segmented models	7
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	7
Correcting random effect distributions to account for survivorship bias in individual heterogeneity Cormack–Jolly–Seber models	7
Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn	7

Multiple tests for restricted mean time lost with competing risks data	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
Direct and indirect treatment effects in the presence of semicompeting risks	7
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	7
Textbook of Medical Statistics	7
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	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
Heterogeneity learning in distributed networks with large-scale survival data	7
Nonparanormal adjusted marginal inference	7
Conformal predictive intervals in survival analysis: a resampling approach	7
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	7
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	7
A Formal Causal Interpretation of the Case-Crossover Design	7
Heterogeneous causal mediation analysis using Bayesian additive regression trees	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
Biostatistics for Bioassay	6
Composite dyadic models for spatio-temporal data	6
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions	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
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
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	6
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	6
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	6
Measurement error-robust causal inference via constructed instrumental variables	6
Optimal adaptive SMART designs with binary outcomes	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
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
High-dimensional multi-study multi-modality covariate-augmented generalized factor model	6
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	5
Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	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
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	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
A regularized multi-state model for covariate selection with interval-censored survival data	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Distance weighted directional regression for Fréchet sufficient dimension reduction	5
A three-groups non-local model for combining heterogeneous data sources to identify genes associated with Parkinson’s disease	5
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
The central role of the identifying assumption in population size estimation	5
A general framework for heterogeneous variable importance: Pointwise and uniform inference	5
Two-phase designs with failure time processes subject to nonsusceptibility	5
Multivariate causal effects: a Bayesian causal regression factor model	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
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	5
A First Course in Causal Inference	5
Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial	5
Instrumental Variable Estimation of the Causal Hazard Ratio	5
Hospital Profiling Using Bayesian Decision Theory	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
A semiparametric Gaussian Mixture Model with spatial dependence and its application to whole-slide image clustering analysis	5
Large row-constrained supersaturated designs for high-throughput screening	5
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
Supervised Convex Clustering	4
Elastic Analysis of Irregularly or Sparsely Sampled Curves	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	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
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolution	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
Detection of multiple influential observations on model selection	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Bayesian nowcasting for delay adjustments using time-varying parametric functions of cumulative reporting probability	4
Large-scale survival analysis with a cure fraction	4
Robust and efficient semi-supervised learning for Ising model	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4

Super learner for survival prediction in case-cohort and generalized case-cohort studies	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
Correction to: A novel statistical test for treatment differences in clinical trials using a response-adaptive forward-looking Gittins Index Rule	4
Issue Information	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Double robust conditional independence test for novel biomarkers given established risk factors with survival data	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Knowledge-guided Bayesian biclustering model for omics data with noisy graphs	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
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	4
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Multiple-index interaction models to accommodate exposure grouping in environmental mixtures	4
Variable selection in functional linear Cox model	3
On network deconvolution for undirected graphs	3
Sensitivity analysis for studies transporting prediction models	3
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	3
Joint Semiparametric Models for Case-Cohort Designs	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Reduced varying coefficient models for regional quantile regression with multiple responses	3
Deep partially linear cox model for current status data	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Rejoinder to the discussion on ‘Causal inference with misspecified network interference structure’	3
Structuring, sequencing, staging, selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases	3
Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	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
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
Addressing selection bias in cluster randomized experiments via weighting	3
An adaptive design for optimizing treatment assignment in randomized clinical trials	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	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
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
OPERA: a new algorithm for patient stratification based on partially ordered risk factors	3
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	3
TITE-safety: a robust time-to-event safety monitoring approach for clinical trials	3
Finding Influential Subjects in a Network Using a Causal Framework	3
Censoring-robust estimation in fixed sample time-to-event clinical trials with adaptive randomization	3
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
Rejoinder to the discussion on “Continuous-space occupancy models”	3
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	3
Composite likelihood inference for space-time point processes	3
Stable survival extrapolation using mortality projections	3
Concordance Indices with Left-Truncated and Right-Censored Data	3
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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
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	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
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
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Leveraging independence in high-dimensional mixed linear regression	3
Correction to: Continuous-time mediation analysis for repeatedly measured mediators and outcomes	3
Learning optimal early decision treatment rules with multi-domain intermediate outcomes	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
Unit information Dirichlet process prior	3