Biometrics

Article	Citations
Nonparametric variable importance assessment using machine learning techniques	38
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification	36
Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns?	24
Elastic priors to dynamically borrow information from historical data in clinical trials	24
Spatial+: A novel approach to spatial confounding	22
Improving Trial Generalizability Using Observational Studies	20
Nonparametric estimation of Spearman's rank correlation with bivariate survival data	17
Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach	16
Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease	16
A Novel Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization with Applications to COVID-19 Outcomes	15
Bayesian multiple index models for environmental mixtures	15
Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART)	15
Sample size formula for general win ratio analysis	15
Causal mediation of semicompeting risks	14
Post‐selection inference for changepoint detection algorithms with application to copy number variation data	14
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts	14
Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data	13
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	13
On restricted mean time in favor of treatment	13
Gaussian graphical model‐based heterogeneity analysis via penalized fusion	12
A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model	12
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties	12
Sensitivity analyses informed by tests for bias in observational studies	12
Robust Bayesian Variable Selection for Gene–Environment Interactions	12
Restricted mean survival time as a function of restriction time	12

Sparse linear discriminant analysis for multiview structured data	11
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	11
The Tukey trend test: Multiplicity adjustment using multiple marginal models	11
A generalized robust allele‐based genetic association test	11
Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials	11
Sample size considerations for stepped wedge designs with subclusters	10
Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers	10
Joint association and classification analysis of multi‐view data	10
Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics	10
Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown	10
Interactive web‐based data visualization with R, plotly, and shiny (Carson Sievert)	9
Assessing Exposure-Time Treatment Effect Heterogeneity in Stepped-Wedge Cluster Randomized Trials	9
A multiview model for relative and absolute microbial abundances	9
A transformation‐free linear regression for compositional outcomes and predictors	9
Combining Observational and Experimental Datasets Using Shrinkage Estimators	9
Elastic Analysis of Irregularly or Sparsely Sampled Curves	9
Supervised Two-Dimensional Functional Principal Component Analysis with Time-to-Event Outcomes and Mammogram Imaging Data	9
Jackknife model averaging for high‐dimensional quantile regression	9
The Generalized Fisher's Combination and AccurateP-Value Calculation under Dependence	9
Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization	8
Simultaneous feature selection and outlier detection with optimality guarantees	8
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach	8
Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data	8
Penalized Estimation of Frailty-Based Illness–Death Models for Semi-Competing Risks	8
A spatial Bayesian latent factor model for image‐on‐image regression	7
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator	7
Power and sample size for observational studies of point exposure effects	7
Information‐incorporated Gaussian graphical model for gene expression data	7
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	7
Testing for Heterogeneity in the Utility of a Surrogate Marker	7
Discussion on “Nonparametric variable importance assessment using machine learning techniques” by Brian D. Williamson, Peter B. Gilbert, Marco Carone, and Noah Simon	7
Clustering High-Dimensional Data via Feature Selection	7
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	7
Cox regression model under dependent truncation	7
Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective	7
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	7
CASANOVA: Permutation inference in factorial survival designs	7
Adaptive enrichment designs with a continuous biomarker	7
Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs	7
General Independent Censoring in Event-Driven Trials with Staggered Entry	7
Simultaneous variable selection in regression analysis of multivariate interval‐censored data	7
Multivariate survival analysis in big data: A divide‐and‐combine approach	7
Two robust tools for inference about causal effects with invalid instruments	7
Model-Based Clustering of High-Dimensional Longitudinal Data via Regularization	6
Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification and Estimation for Causal Inference	6
Generalized Propensity Score Approach to Causal Inference with Spatial Interference	6
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang	6
SAM: Self-Adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials	6
Nonparametric Estimation of the Causal Effect of a Stochastic Threshold-Based Intervention	6
Double Reduction Estimation and Equilibrium Tests in Natural Autopolyploid Populations	6

Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models	6
Estimation of separable direct and indirect effects in continuous time	6
Debiased lasso for generalized linear models with a diverging number of covariates	6
Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery	6
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	6
A linear mixed model to estimate COVID‐19‐induced excess mortality	6
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale	6
A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data	6
A Bayesian Model with Application for Adaptive Platform Trials Having Temporal Changes	5
Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction	5
Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model	5
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics	5
Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference	5
Analysis of Length-Biased and Partly Interval-Censored Survival Data with Mismeasured Covariates	5
Instrumental variable estimation of complier causal treatment effect with interval‐censored data	5
Generalized multi‐SNP mediation intersection–union test	5
Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis	5
Bayesian Treatment Screening and Selection Using Subgroup-Specific Utilities of Response and Toxicity	5
Robust Approach to Combining Multiple Markers to Improve Surrogacy	5
Neural Network on Interval-Censored Data with Application to the Prediction of Alzheimer's Disease	5
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis	5
Restricted function‐on‐function linear regression model	5
Conditional Inference in Cis-Mendelian Randomization Using Weak Genetic Factors	5
Semiparametric estimation of the nonmixture cure model with auxiliary survival information	5
Nonparametric Failure Time: Time-to-Event Machine Learning with Heteroskedastic Bayesian Additive Regression Trees and Low Information Omnibus Dirichlet Process Mixtures	5
Automated Analysis of Low-Field Brain MRI in Cerebral Malaria	5
Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio	5
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation	5
Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method	5
It's All Relative: Regression Analysis with Compositional Predictors	5
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data	5
A latent capture history model for digital aerial surveys	5
Bayesian nonparametric quantile process regression and estimation of marginal quantile effects	5
Modelling publication bias andp‐hacking	5
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	4
A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations	4
Design Considerations for Two-Stage Enrichment Clinical Trials	4
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data	4
Spatial correlation structures for detections of individuals in spatial capture–recapture models	4
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data	4
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	4
Nonparametric Inference of General While-Alive Estimands for Recurrent Events	4
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Discussion of “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes”	4
Integrating sample similarities into latent class analysis: a tree‐structured shrinkage approach	4
Consistent Estimation of the Number of Communities via Regularized Network Embedding	4
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data	4
Analyzing Data in Complicated 3D Domains: Smoothing, Semiparametric Regression, and Functional Principal Component Analysis	4
Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring	4
Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data	4
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Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study	4
Latent Trajectory Models for Spatio-Temporal Dynamics in Alaskan Ecosystems	4
A Self-Censoring Model for Multivariate Nonignorable Nonmonotone Missing Data	4
CEDAR: Communication Efficient Distributed Analysis for Regressions	4
Nonparametric Inverse-Probability-Weighted Estimators Based on the Highly Adaptive Lasso	4
A Formal Causal Interpretation of the Case-Crossover Design	4
Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders	4
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models	4
A matching procedure for sequential experiments that iteratively learns which covariates improve power	4
On polygenic risk scores for complex traits prediction	4
Multiwave validation sampling for error‐prone electronic health records	4
Instrumental Variable Estimation of the Causal Hazard Ratio	4
Multidimensional molecular measurements–environment interaction analysis for disease outcomes	4
Causal Mediation Analysis Using High-Dimensional Image Mediator Bounded in Irregular Domain with an Application to Breast Cancer	4
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	4
A Latent State Space Model for Estimating Brain Dynamics from Electroencephalogram (EEG) Data	4
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	4
A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV	4
Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity	4
Regression with interval‐censored covariates: Application to cross‐sectional incidence estimation	4
Continuous Time-Interaction Processes for Population Size Estimation, with an Application to Drug Dealing in Italy	4
Simulation‐based estimators of analytically intractable causal effects	3
Bayesian Design of Multi-Regional Clinical Trials with Time-to-Event Endpoints	3
Regression‐based negative control of homophily in dyadic peer effect analysis	3
Feature screening with large‐scale and high‐dimensional survival data	3
Simultaneous confidence intervals for ranks with application to ranking institutions	3
Bayesian Causal Inference for Observational Studies with Missingness in Covariates and Outcomes	3
Variable Selection in Regression-Based Estimation of Dynamic Treatment Regimes	3
Maximum Likelihood Estimation in the Additive Hazards Model	3

Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data	3
Prioritizing Candidate Peptides for Cancer Vaccines Through Predicting Peptide Presentation by HLA-I Proteins	3
Density estimation for circular data observed with errors	3
Boosting Distributional Copula Regression	3
Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records	3
Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules	3
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang	3
Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals	3
A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing	3
Distributional independent component analysis for diverse neuroimaging modalities	3
Hierarchical cancer heterogeneity analysis based on histopathological imaging features	3
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration	3
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	3
Another look at regression analysis using ranked set samples with application to an osteoporosis study	3
Zero-Inflated Poisson Models with Measurement Error in the Response	3
Grouped Generalized Estimating Equations for Longitudinal Data Analysis	3
Integration of survival data from multiple studies	3
Bayesian Sample Size Determination Using Commensurate Priors to Leverage Preexperimental Data	3
Integrative Bayesian Models Using Post-Selective Inference: A Case Study in Radiogenomics	3
Longitudinal Incremental Propensity Score Interventions for Limited Resource Settings	3
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments	3
Improving efficiency of inference in clinical trials with external control data	3
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches	3
Estimating Tree-Based Dynamic Treatment Regimes Using Observational Data with Restricted Treatment Sequences	3
A Case Study of Glucose Levels During Sleep Using Multilevel Fast Function on Scalar Regression Inference	3
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo	3
Meta‐analysis: Methods for health and experimental studies: ShahjahanKhanSpringerNature Singapore Pte. Ltd. 2020. pp. 293	3
A kernel regression model for panel count data with nonparametric covariate functions	3
Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort	3
Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations	3
An individual level infectious disease model in the presence of uncertainty from multiple, imperfect diagnostic tests	3
Efficient and Robust Approaches for Analysis of Sequential Multiple Assignment Randomized Trials: Illustration Using the ADAPT-R Trial	3
Modeling dynamic correlation in zero‐inflated bivariate count data with applications to single‐cell RNA sequencing data	3
A closed max‐t test for multiple comparisons of areas under the ROC curve	3
Solutions for Surrogacy Validation with Longitudinal Outcomes for a Gene Therapy	3
Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model	3
EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis	3
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation	3
An Accelerated Failure Time Regression Model for Illness–Death Data: A Frailty Approach	3
Optimal test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss	3
Analysis of local sensitivity to nonignorability with missing outcomes and predictors	3
An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis	3
Flexible use of copula‐type model for dose‐finding in drug combination clinical trials	3
New multivariate tests for assessing covariate balance in matched observational studies	3
Leveraging a Surrogate Outcome to Improve Inference on a Partially Missing Target Outcome	3
Discussion on “Adaptive enrichment designs with a continuous biomarker” by Nigel Stallard	3
A model for analyzing clustered occurrence data	3
False Discovery Rate-Controlled Multiple Testing for Union Null Hypotheses: A Knockoff-Based Approach	2
A Bayesian Functional Data Model for Surveys Collected under Informative Sampling with Application to Mortality Estimation Using NHANES	2
Inference in response‐adaptive clinical trials when the enrolled population varies over time	2
Additive Subdistribution Hazards Regression for Competing Risks Data in Case-Cohort Studies	2
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions	2
Semiparametric Count Data Regression for Self-Reported Mental Health	2
Addressing patient heterogeneity in disease predictive model development	2
An Eigenvalue Ratio Approach to Inferring Population Structure from Whole Genome Sequencing Data	2
Dynamic logistic state space prediction model for clinical decision making	2
Analyzing Clustered Continuous Response Variables with Ordinal Regression Models	2
Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda	2
Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes	2
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Accelerated failure time modeling via nonparametric mixtures	2
How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?	2
Estimating the Area under the ROC Curve When Transporting a Prediction Model to a Target Population	2
A General Framework of Nonparametric Feature Selection in High-Dimensional Data	2
Screening Methods for Linear Errors-in-Variables Models in High Dimensions	2
Quantile Regression for Nonignorable Missing Data with Its Application of Analyzing Electronic Medical Records	2
Interim monitoring in sequential multiple assignment randomized trials	2
Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin	2
Functional additive models for optimizing individualized treatment rules	2
Efficient Algorithms for Building Representative Matched Pairs with Enhanced Generalizability	2
Increasing Efficiency and Reducing Bias When Assessing HPV Vaccination Efficacy by Using Nontargeted HPV Strains	2
A Bayesian spatial model for imaging genetics	2
Human disease clinical treatment network for the elderly: analysis of the medicare inpatient length of stay and readmission data	2
Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome	2
Adjusting for Publication Bias in Meta-Analysis via Inverse Probability Weighting Using Clinical Trial Registries	2
Reducing subspace models for large‐scale covariance regression	2
Bayesian Model Selection for Generalized Linear Mixed Models	2
Modeling semi‐competing risks data as a longitudinal bivariate process	2
Information Criteria for Detecting Change-Points in the Cox Proportional Hazards Model	2
Instrumented Difference-in-Differences	2
Pair-Switching Rerandomization	2
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model	2
Age-Related Model for Estimating the Symptomatic and Asymptomatic Transmissibility of COVID-19 Patients	2
Score Test for Missing at Random or Not under Logistic Missingness Models	2
Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups	2
Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID‐19	2
Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score	2
Integrative analysis of multiple case‐control studies	2
Generalized case‐control sampling under generalized linear models	2
Group Variable Selection for the Cox Model with Interval-Censored Failure Time Data	2
Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin	2
Biased estimation with shared parameter models in the presence of competing dropout mechanisms	2
Assuming independence in spatial latent variable models: Consequences and implications of misspecification	2
Center-Augmented ℓ2-Type Regularization for Subgroup Learning	2
Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes	2