Biometrics

Article	Citations
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification	31
Nonparametric variable importance assessment using machine learning techniques	30
Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes	30
Estimation of incubation period and generation time based on observed length‐biased epidemic cohort with censoring for COVID‐19 outbreak in China	28
Testing small study effects in multivariate meta‐analysis	26
Elastic priors to dynamically borrow information from historical data in clinical trials	21
Variance estimation in inverse probability weighted Cox models	21
Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia	21
Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns?	21
Zero‐inflated Poisson factor model with application to microbiome read counts	20
Analysis of noisy survival data with graphical proportional hazards measurement error models	18
Improving Trial Generalizability Using Observational Studies	16
Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories	15
Spatial+: A novel approach to spatial confounding	15
Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease	15
Parametric g‐formula implementations for causal survival analyses	15
A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes	15
Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials	14
A class of proportional win‐fractions regression models for composite outcomes	14
A multiple robust propensity score method for longitudinal analysis with intermittent missing data	14
Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data	13
Combining primary cohort data with external aggregate information without assuming comparability	13
Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART)	13
Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep	12
Bayesian multiple index models for environmental mixtures	12

Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach	12
A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model	12
Sample size formula for general win ratio analysis	12
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties	12
Post‐selection inference for changepoint detection algorithms with application to copy number variation data	12
On restricted mean time in favor of treatment	11
A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts	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
A stacked approach for chained equations multiple imputation incorporating the substantive model	11
Compositional knockoff filter for high‐dimensional regression analysis of microbiome data	11
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts	11
Causal mediation of semicompeting risks	11
Nonparametric estimation of Spearman's rank correlation with bivariate survival data	11
Modeling sparse longitudinal data on Riemannian manifolds	10
Regularized matrix data clustering and its application to image analysis	10
Supervised Two-Dimensional Functional Principal Component Analysis with Time-to-Event Outcomes and Mammogram Imaging Data	9
The impact of misclassification on covariate‐adaptive randomized clinical trials	9
Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown	9
Generalized reliability based on distances	9
A multiview model for relative and absolute microbial abundances	9
Multimodal neuroimaging data integration and pathway analysis	9
Receiver operating characteristic curves and confidence bands for support vector machines	9
Sample size considerations for stepped wedge designs with subclusters	9
A Novel Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization with Applications to COVID-19 Outcomes	9
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models	8
Restricted mean survival time as a function of restriction time	8
Bayesian inference of causal effects from observational data in Gaussian graphical models	8
Interactive web‐based data visualization with R, plotly, and shiny (Carson Sievert)	8
Sensitivity analyses informed by tests for bias in observational studies	8
Bayesian compositional regression with structured priors for microbiome feature selection	8
Nonparametric matrix response regression with application to brain imaging data analysis	8
Bayesian group selection in logistic regression with application to MRI data analysis	8
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach	8
Gaussian graphical model‐based heterogeneity analysis via penalized fusion	7
Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization	7
Adaptive enrichment designs with a continuous biomarker	7
General Independent Censoring in Event-Driven Trials with Staggered Entry	7
Multivariate survival analysis in big data: A divide‐and‐combine approach	7
A transformation‐free linear regression for compositional outcomes and predictors	7
Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers	7
Cross‐component registration for multivariate functional data, with application to growth curves	7
Simultaneous variable selection in regression analysis of multivariate interval‐censored data	7
Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data	7
Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics	7
Joint association and classification analysis of multi‐view data	7
Cluster non‐Gaussian functional data	7
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale	6
Estimation of separable direct and indirect effects in continuous time	6
Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective	6

Simultaneous feature selection and outlier detection with optimality guarantees	6
Assessing Exposure-Time Treatment Effect Heterogeneity in Stepped-Wedge Cluster Randomized Trials	6
Combining Observational and Experimental Datasets Using Shrinkage Estimators	6
Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models	6
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang	6
Information‐incorporated Gaussian graphical model for gene expression data	6
The Generalized Fisher's Combination and Accurate P-Value Calculation under Dependence	6
Two robust tools for inference about causal effects with invalid instruments	6
CASANOVA: Permutation inference in factorial survival designs	6
Using the “Hidden” genome to improve classification of cancer types	6
Jackknife model averaging for high‐dimensional quantile regression	6
A linear mixed model to estimate COVID‐19‐induced excess mortality	6
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development	6
Power and sample size for observational studies of point exposure effects	6
Sparse linear discriminant analysis for multiview structured data	6
Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging	6
Discussion on “Nonparametric variable importance assessment using machine learning techniques” by Brian D. Williamson, Peter B. Gilbert, Marco Carone, and Noah Simon	6
A spatial Bayesian latent factor model for image‐on‐image regression	6
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator	6
Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes	6
Modelling publication bias and p‐hacking	5
Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests	5
Penalized Estimation of Frailty-Based Illness–Death Models for Semi-Competing Risks	5
Semiparametric estimation of cross‐covariance functions for multivariate random fields	5
Bayesian Treatment Screening and Selection Using Subgroup-Specific Utilities of Response and Toxicity	5
Restricted function‐on‐function linear regression model	5
Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies	5
Case contamination in electronic health records based case‐control studies	5
Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts	5
Testing for Heterogeneity in the Utility of a Surrogate Marker	5
Approximate Bayesian inference for case‐crossover models	5
Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery	5
Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring	5
Instrumental variable estimation of complier causal treatment effect with interval‐censored data	5
A latent capture history model for digital aerial surveys	5
Nonparametric analysis of nonhomogeneous multistate processes with clustered observations	5
Elastic Analysis of Irregularly or Sparsely Sampled Curves	5
A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data	5
Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio	5
The Tukey trend test: Multiplicity adjustment using multiple marginal models	5
Clustering High-Dimensional Data via Feature Selection	5
Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs	5
Flexible link functions in a joint hierarchical Gaussian process model	4
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population	4
Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” by Jean Feng, Scott Emerson, and Noah Simon	4
A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations	4
Evaluation of longitudinal surrogate markers	4
Penalized Fieller's confidence interval for the ratio of bivariate normal means	4
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis	4
Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data	4
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation	4
A Bayesian Model with Application for Adaptive Platform Trials Having Temporal Changes	4
Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference	4
Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen	4
A Formal Causal Interpretation of the Case-Crossover Design	4
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data	4
A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV	4
Conditional Inference in Cis-Mendelian Randomization Using Weak Genetic Factors	4
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models	4
Structural factor equation models for causal network construction via directed acyclic mixed graphs	4
Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data	4
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis	4
Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses	4
Quantile regression for survival data with covariates subject to detection limits	4
Robust Bayesian Variable Selection for Gene–Environment Interactions	4
Multidimensional molecular measurements–environment interaction analysis for disease outcomes	4
Nonparametric Inference of General While-Alive Estimands for Recurrent Events	4
Nonparametric Estimation of the Causal Effect of a Stochastic Threshold-Based Intervention	4
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach	4
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
Evaluating and improving a matched comparison of antidepressants and bone density	4
Double Reduction Estimation and Equilibrium Tests in Natural Autopolyploid Populations	4
Automated Analysis of Low-Field Brain MRI in Cerebral Malaria	4
Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders	4
Cox regression model under dependent truncation	4
Spatial correlation structures for detections of individuals in spatial capture–recapture models	4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics	4
Optimality of testing procedures for survival data in the nonproportional hazards setting	4
Multiwave validation sampling for error‐prone electronic health records	4
Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study	4

Debiased lasso for generalized linear models with a diverging number of covariates	4
Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method	4
Evaluating multiple surrogate markers with censored data	4
Generalized multi‐SNP mediation intersection–union test	4
Ultra high‐dimensional semiparametric longitudinal data analysis	4
It's All Relative: Regression Analysis with Compositional Predictors	4
Estimating Tree-Based Dynamic Treatment Regimes Using Observational Data with Restricted Treatment Sequences	3
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A kernel regression model for panel count data with nonparametric covariate functions	3
Simultaneous confidence intervals for ranks with application to ranking institutions	3
Analyzing Data in Complicated 3D Domains: Smoothing, Semiparametric Regression, and Functional Principal Component Analysis	3
Retrospective versus prospective score tests for genetic association with case‐control data	3
Design Considerations for Two-Stage Enrichment Clinical Trials	3
Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model	3
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data	3
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints	3
Parameter estimation for discretely observed linear birth‐and‐death processes	3
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Spatial regression and spillover effects in cluster randomized trials with count outcomes	3
Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort	3
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang	3
New multivariate tests for assessing covariate balance in matched observational studies	3
Prioritizing Candidate Peptides for Cancer Vaccines Through Predicting Peptide Presentation by HLA-I Proteins	3
Nonparametric trend estimation in functional time series with application to annual mortality rates	3
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Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator	3
SAM: Self-Adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials	3
Continuous Time-Interaction Processes for Population Size Estimation, with an Application to Drug Dealing in Italy	3
A closed max‐t test for multiple comparisons of areas under the ROC curve	3
Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis	3
Two‐group Poisson‐Dirichlet mixtures for multiple testing	3
Model-Based Clustering of High-Dimensional Longitudinal Data via Regularization	3
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis	3
Improving efficiency of inference in clinical trials with external control data	3
An individual level infectious disease model in the presence of uncertainty from multiple, imperfect diagnostic tests	3
Another look at regression analysis using ranked set samples with application to an osteoporosis study	3
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments	3
Semiparametric estimation of the nonmixture cure model with auxiliary survival information	3
A matching procedure for sequential experiments that iteratively learns which covariates improve power	3
Simulation‐based estimators of analytically intractable causal effects	3
Flexible use of copula‐type model for dose‐finding in drug combination clinical trials	3
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic	3
Hierarchical cancer heterogeneity analysis based on histopathological imaging features	3
Integrating sample similarities into latent class analysis: a tree‐structured shrinkage approach	3
A model for analyzing clustered occurrence data	3
Generalized Propensity Score Approach to Causal Inference with Spatial Interference	3
Causal Mediation Analysis Using High-Dimensional Image Mediator Bounded in Irregular Domain with an Application to Breast Cancer	3
Bayesian Sample Size Determination Using Commensurate Priors to Leverage Preexperimental Data	3
Integration of survival data from multiple studies	3
A Novel Bayesian Functional Spatial Partitioning Method with Application to Prostate Cancer Lesion Detection Using MRI	3
Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model	3
Child mortality estimation incorporating summary birth history data	3
Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity	3
EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis	3
Discussion on “Adaptive enrichment designs with a continuous biomarker” by Nigel Stallard	3
Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data	3
Meta‐analysis: Methods for health and experimental studies: ShahjahanKhanSpringerNature Singapore Pte. Ltd. 2020. pp. 293	3
Brain connectivity alteration detection via matrix‐variate differential network model	3
Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals	3