Biometrics

Article	Citations
Generating Designs for Comparative Experiments with Two Blocking Factors	37
Principles of biostatistics (3rd ed) Marcello Pagano, Kimberlee Gauvreau, Heather Mattie (2022). Boca Raton, FL: CRC Press	37
Bayesian pathway analysis over brain network mediators for survival data	34
Acknowledgment of Referees 2024	29
Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel	29
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?	23
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes	20
Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	19
Scalable and distributed individualized treatment rules for multicenter datasets	19
A Bayesian framework for causal analysis of recurrent events with timing misalignment	19
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators	18
Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints	17
Targeted maximum likelihood estimation for mediation analysis with multiple time-varying mediators	16
Integration of aggregate data in causally interpretable meta-analysis by inverse weighting	16
Q -Learning with clustered-SMART (cSMART) data: examining moderators in the construction of clustered adaptive interventions	16
Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework	15
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology	15
Optimal Sampling for Positive Only Electronic Health Record Data	15
A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison	14
Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors	14
Randomized phase II selection design with order constrained strata	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	13
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions	13
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	13

A group distributional ICA method for decomposing multi-subject diffusion tensor imaging	13
Bias correction models for electronic health records data in the presence of non-random sampling	13
A positivity robust strategy to study effects of switching treatment	13
Distal causal excursion effects: modeling long-term effects of time-varying treatments in micro-randomized trials	12
Doubly robust nonparametric estimators of the predictive value of covariates for survival data	12
Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates	12
A monotone single index model for spatially referenced multistate current status data	12
Homogeneity pursuit and variable selection in regression models for multivariate abundance data	11
Case-crossover designs and overdispersion with application to air pollution epidemiology	11
Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods	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
Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy	10
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data	9
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation	9
Instability of Inverse Probability Weighting Methods and a Remedy for Nonignorable Missing Data	9
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study	9
Joint modeling of multiple longitudinal biomarkers and survival outcomes via threshold regression: variability as a predictor	9
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
Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases	8
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	8
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	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
Likelihood adaptively incorporated external aggregate information with uncertainty for survival data	8
Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn	8
Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs	8
FLAME: a model for duration-dependent risk accumulation in episodic temporal exposures	8
A framework for causal estimand selection under positivity violations	8
Transfer learning estimation of the accelerated failure time model based on high-dimensional data	8
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	8
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations	8
Correcting random effect distributions to account for survivorship bias in individual heterogeneity Cormack–Jolly–Seber models	8
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Causal inference for time-to-event data with a cured subpopulation	8
Statistical analysis of disease onset during lifespan with left truncation	8
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
Nonparanormal adjusted marginal inference	8
A Second Evidence Factor for a Second Control Group	8
Statistical inference on change points in generalized semiparametric segmented models	7
Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data	7
Valid and efficient inference for nonparametric variable importance in two-phase studies	7
A causal inference framework for leveraging external controls in hybrid trials	7
Bias reduction in g-computation for covariate adjustment in randomized clinical trials	7
Longitudinal varying coefficient single-index model with censored covariates	7
Multiple tests for restricted mean time lost with competing risks data	7
Causal inference with cross-temporal design	7
The Statistical Analysis of Small Data Sets	7
Heterogeneity learning in distributed networks with large-scale survival data	7
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation	7

Report of the Editors—2022	7
Discussion on “Instrumented Difference-in-Differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small	7
Estimation of mixed-effects ordinary differential equation models linear in the parameters	7
Textbook of Medical Statistics	7
Improved Semiparametric Estimation of the Proportional Rate Model with Recurrent Event Data	7
Heterogeneous latent transfer learning in Gaussian graphical models	7
A flexible framework for spatial capture-recapture with unknown identities	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
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	6
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
Inference for microbe–metabolite association networks using a latent graph model	6
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data	6
Addressing age measurement errors in fish growth estimation from length-stratified samples	6
Measurement error-robust causal inference via constructed instrumental variables	6
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	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
Direct and indirect treatment effects in the presence of semicompeting risks	6
Statistical Methods in Epilepsy	6
Optimal adaptive SMART designs with binary outcomes	6
ROMI: a randomized two-stage basket trial design to optimize doses for multiple indications	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
A Formal Causal Interpretation of the Case-Crossover Design	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
A three-groups non-local model for combining heterogeneous data sources to identify genes associated with Parkinson’s disease	5
High-dimensional covariate-augmented overdispersed poisson factor model	5
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards	5
Hospital Profiling Using Bayesian Decision Theory	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
Sparse Bayesian Modeling of Hierarchical Independent Component Analysis: Reliable Estimation of Individual Differences in Brain Networks	5
Discussion on “INTACT: a method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou	5
Sample Size and Power Determination for Multiparameter Evaluation in Nonlinear Regression Models with Potential Stratification	5
Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity	5
High-dimensional multi-study multi-modality covariate-augmented generalized factor model	5
Exploring the heterogeneity in recurrent episode lengths based on quantile regression	5
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease	5
A First Course in Causal Inference	5
Large row-constrained supersaturated designs for high-throughput screening	5
Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events	5
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	5
Two-phase designs with failure time processes subject to nonsusceptibility	5
Analysis of cross-platform health communication with a network approach	5
Nonlinear Multilevel Joint Model for Individual Lesion Kinetics and Survival to Characterize Intra-Individual Heterogeneity in Patients with Advanced Cancer	5
Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data	5
Multivariate causal effects: a Bayesian causal regression factor model	5
Biostatistics for Bioassay	5
A regularized multi-state model for covariate selection with interval-censored survival data	5
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI 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
Learn-As-you-GO (LAGO) trials: optimizing treatments and preventing trial failure through ongoing learning	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
Statistical inference on the relative risk following covariate-adaptive randomization	5
Correction to: Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	5
Composite dyadic models for spatio-temporal data	5
Discrete-time competing-risks regression with or without penalization	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
A semiparametric Gaussian Mixture Model with spatial dependence and its application to whole-slide image clustering analysis	5
Latent Deformation Models for Multivariate Functional Data and Time-Warping Separability	4
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics	4
Analysis of Dynamic Restricted Mean Survival Time Based on Pseudo-Observations	4
Large-scale survival analysis with a cure fraction	4
A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolution	4
Super learner for survival prediction in case-cohort and generalized case-cohort studies	4
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data	4
Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling	4
Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines	4
Estimating the size of a closed population by modeling latent and observed heterogeneity	4
Bayesian nowcasting for delay adjustments using time-varying parametric functions of cumulative reporting probability	4
A Bayesian phase I/II platform design with data augmentation accounting for delayed outcomes	4
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators	4
Robust and efficient semi-supervised learning for Ising model	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
Knowledge-guided Bayesian biclustering model for omics data with noisy graphs	4
Instrumental Variable Estimation of the Causal Hazard Ratio	4
Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial	4
Distance weighted directional regression for Fréchet sufficient dimension reduction	4

Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data	4
Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation	4
Detection of multiple influential observations on model selection	4
Multiple-index interaction models to accommodate exposure grouping in environmental mixtures	4
On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials	4
Group sequential clinical trial designs for composite endpoints incorporating recurrent and terminal events	4
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs	4
A Stochastic Block Ising Model for Multi-Layer Networks with Inter-Layer Dependence	4
Doubly robust estimation and sensitivity analysis for marginal structural quantile models	4
Manifold-constrained Gaussian processes for inference of mixed-effects ordinary differential equations with application to pharmacokinetics	4
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes	4
Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach	4
Propensity weighting plus adjustment in proportional hazards model is not doubly robust	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	3
Double robust conditional independence test for novel biomarkers given established risk factors with survival data	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
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping	3
On network deconvolution for undirected graphs	3
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures	3
Stable survival extrapolation using mortality projections	3
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects	3
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data	3
Discussion on ‘Causal inference with misspecified network interference structure’ by Bar Weinstein and Daniel Nevo	3
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Leveraging independence in high-dimensional mixed linear regression	3
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies	3
Censoring-robust estimation in fixed sample time-to-event clinical trials with adaptive randomization	3
Unit information Dirichlet process prior	3
OPERA: a new algorithm for patient stratification based on partially ordered risk factors	3
Issue Information	3
Composite likelihood inference for space-time point processes	3
Using instrumental variables to address unmeasured confounding in causal mediation analysis	3
Correction to: A novel statistical test for treatment differences in clinical trials using a response-adaptive forward-looking Gittins Index Rule	3
Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects	3
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes	3
Sparse Estimation in Semiparametric Finite Mixture of Varying Coefficient Regression Models	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
Structuring, sequencing, staging, selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases	3
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders	3
Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou	3
Addressing selection bias in cluster randomized experiments via weighting	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Sensitivity analysis for studies transporting prediction models	3
Variable selection in functional linear Cox model	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
Correction to: Continuous-time mediation analysis for repeatedly measured mediators and outcomes	3
Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions	3
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data	3
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models	3
Rejoinder to the discussion on ‘Causal inference with misspecified network interference structure’	3
Joint Semiparametric Models for Case-Cohort Designs	3
Concave Likelihood-Based Regression with Finite-Support Response Variables	3
Learning optimal early decision treatment rules with multi-domain intermediate outcomes	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
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	3
Rejoinder to the discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources”	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
Deep partially linear cox model for current status data	3
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	3
Reduced varying coefficient models for regional quantile regression with multiple responses	3
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield	3
Supervised Convex Clustering	3
Writing grant proposals in epidemiology, preventive medicine, and biostatistics Lisa Chasan-Taber, CRC Press: Boca Raton FL. 2022. https://doi.org/10.1201/9781003155140	3