Biometrics

Article	Citations
Optimal Sampling for Positive Only Electronic Health Record Data	39
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	38
Generating Designs for Comparative Experiments with Two Blocking Factors	36
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	27
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	22
Testing for Heterogeneity in the Utility of a Surrogate Marker	21
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	21
A Cross-Validation Statistical Framework for Asymmetric Data Integration	21
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics	20
Multidimensional molecular measurements–environment interaction analysis for disease outcomes	19
Interim monitoring in sequential multiple assignment randomized trials	19
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	17
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	17
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	17
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	16
Bayesian pathway analysis over brain network mediators for survival data	16
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	16
A Bayesian framework for causal analysis of recurrent events with timing misalignment	15
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	15
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	14
Acknowledgment of Referees 2024	14
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	14
Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten	13
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	13
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	13

Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	13
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	13
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	12
Estimation of separable direct and indirect effects in continuous time	12
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	12
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	12
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	12
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	12
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	11
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	11
Causal inference for time-to-event data with a cured subpopulation	11
A positivity robust strategy to study effects of switching treatment	11
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	11
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
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
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
Issue Information	10
Randomized phase II selection design with order constrained strata	10
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	10
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	10
Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio”	10
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	10
Case-crossover designs and overdispersion with application to air pollution epidemiology	10
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	10
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Bias correction models for electronic health records data in the presence of non-random sampling	10
Heterogeneous latent transfer learning in Gaussian graphical models	9
A Second Evidence Factor for a Second Control Group	9
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	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
A linear mixed model to estimate COVID‐19‐induced excess mortality	9
Sensitivity analyses informed by tests for bias in observational studies	9
Zero-Inflated Poisson Models with Measurement Error in the Response	9
A flexible framework for spatial capture-recapture with unknown identities	9
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	9
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	9
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	9
Closed Testing with Globaltest, with Application in Metabolomics	8
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	8
A Formal Causal Interpretation of the Case-Crossover Design	8
Report of the Editors—2022	8
Robust data integration from multiple external sources for generalized linear models with binary outcomes	8
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	8
Another look at regression analysis using ranked set samples with application to an osteoporosis study	8
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	8
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	8
Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded	8
Statistical issues in drug development, third edition. Stephen S.SennNew Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7.	7
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	7

Conformal predictive intervals in survival analysis: a resampling approach	7
Causal inference with cross-temporal design	7
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	7
Direct and indirect treatment effects in the presence of semicompeting risks	7
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	7
Statistical inference on change points in generalized semiparametric segmented models	7
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data	7
On restricted mean time in favor of treatment	7
Longitudinal varying coefficient single-index model with censored covariates	7
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	7
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	7
Discrete-time competing-risks regression with or without penalization	6
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	6
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Valid and efficient inference for nonparametric variable importance in two-phase studies	6
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	6
Optimal adaptive SMART designs with binary outcomes	6
CASANOVA: Permutation inference in factorial survival designs	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
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
Multiple tests for restricted mean time lost with competing risks data	6
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	6
Composite dyadic models for spatio-temporal data	6
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	6
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	6
Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	6
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	6
Two-phase designs with failure time processes subject to nonsusceptibility	6
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes	6
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	5
Design and Analysis of Two-Phase Studies with Multivariate Longitudinal Data	5
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	5
Estimating the size of a closed population by modeling latent and observed heterogeneity	5
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Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure	5
Hierarchical cancer heterogeneity analysis based on histopathological imaging features	5
Statistical inference on the relative risk following covariate-adaptive randomization	5
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
A Repeated Measures Approach to Pooled and Calibrated Biomarker Data	5
Covariate adjustment in continuous biomarker assessment	5
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	5
Estimated Quadratic Inference Function for Correlated Failure Time Data	5
Bayesian Nonparametric Analysis of Restricted Mean Survival Time	5
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	5
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	5
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	5
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation	5
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	5
Assessing Intervention Effects in a Randomized Trial Within a Social Network	5
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data	5
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks	5
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	5
Elastic Analysis of Irregularly or Sparsely Sampled Curves	5
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	5
Distance weighted directional regression for Fréchet sufficient dimension reduction	5
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
Bayesian multiple index models for environmental mixtures	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	5
The central role of the identifying assumption in population size estimation	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
Hospital Profiling Using Bayesian Decision Theory	5
Rejoinder to the discussion on “Continuous-space occupancy models”	4
Causal mediation of semicompeting risks	4
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale	4
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	4
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	4
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	4
General Independent Censoring in Event-Driven Trials with Staggered Entry	4
Supervised Convex Clustering	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 matching procedure for sequential experiments that iteratively learns which covariates improve power	4
Robust Approach to Combining Multiple Markers to Improve Surrogacy	4
Finding Influential Subjects in a Network Using a Causal Framework	4
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	4

Unit information Dirichlet process prior	4
Addressing selection bias in cluster randomized experiments via weighting	4
Sufficient dimension reduction for populations with structured heterogeneity	4
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Analysis of local sensitivity to nonignorability with missing outcomes and predictors	4
Issue Information	4
Report of the editors—2021	4
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	4
Composite likelihood inference for space-time point processes	4
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	4
A Sensitivity Analysis Approach for the Causal Hazard Ratio in Randomized and Observational Studies	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	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
Robust and efficient semi-supervised learning for Ising model	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Generalized case‐control sampling under generalized linear models	4
Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models	4
Large-scale survival analysis with a cure fraction	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Using instrumental variables to address unmeasured confounding in causal mediation analysis	4
Misdiagnosis-Related Harm Quantification Through Mixture Models and Harm Measures	3
Leveraging independence in high-dimensional mixed linear regression	3
Acknowledgments Referees 2021	3
Rejoinder to Discussions on “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss”	3
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression	3
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	3
Regularized principal spline functions to mitigate spatial confounding	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects	3
Statistics for making decisions by Nicholas T.LongfordBoca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 307. $96	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Joint Semiparametric Models for Case-Cohort Designs	3
Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Optimal Multiple Testing and Design in Clinical Trials	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
Towards automated animal density estimation with acoustic spatial capture-recapture	3
Nonparametric and Semiparametric Estimation with Sequentially Truncated Survival Data	3
A Semiparametric Cox–Aalen Transformation Model with Censored Data	3
Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding”	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
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
A Note on Familywise Error Rate for a Primary and Secondary Endpoint	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	3
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang	3
An Information Ratio-Based Goodness-of-Fit Test for Copula Models on Censored Data	3
On network deconvolution for undirected graphs	3
Joint Gene Network Construction by Single-Cell RNA Sequencing Data	3
Discussion on “Bayesian meta-analysis of penetrance for cancer risk” by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas	3
Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard	3
Simplifying the Estimation of Diagnostic Testing Accuracy Over Time for High Specificity Tests in the Absence of a Gold Standard	3
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint	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
Deep partially linear cox model for current status data	3
Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”	3
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Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach	3
Cure models: Methods, applications, and implementationYingweiPengBinbingYuBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268.	3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	3
Concordance Indices with Left-Truncated and Right-Censored Data	3
Associating Somatic Mutation with Clinical Outcomes Through Kernel Regression and Optimal Transport	3
On Interquantile Smoothness of Censored Quantile Regression with Induced Smoothing	3