Biostatistics

Papers
(The median citation count of Biostatistics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis41
Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator26
Inference after latent variable estimation for single-cell RNA sequencing data17
Reassessing pharmacogenomic cell sensitivity with multilevel statistical models16
Signal detection statistics of adverse drug events in hierarchical structure for matched case–control data13
A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion12
Interpretable principal component analysis for multilevel multivariate functional data12
DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes11
Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data10
Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies8
A note on median regression for complex surveys8
A scalable approach for continuous time Markov models with covariates7
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders7
Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population7
Analyzing microbial evolution through gene and genome phylogenies7
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data6
Evaluating dynamic and predictive discrimination for recurrent event models: use of a time-dependent C-index6
Alleviating spatial confounding in frailty models6
An intersectional framework for counterfactual fairness in risk prediction6
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas6
A Bayesian approach to estimating COVID-19 incidence and infection fatality rates6
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders6
Addressing the mean–variance relationship in spatially resolved transcriptomics data with spoon5
A scalable and unbiased discordance metric with H+5
Improved efficiency for cross-arm comparisons via platform designs5
Correction to: A transformation perspective on marginal and conditional models5
Doubly robust nonparametric instrumental variable estimators for survival outcomes5
Exponential family measurement error models for single-cell CRISPR screens5
Multiple exposure distributed lag models with variable selection5
A Bayesian nonparametric approach to correct for underreporting in count data5
Identifying predictors of resilience to stressors in single-arm studies of pre–post change4
A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV4
Bayesian design of clinical trials using joint models for recurrent and terminating events4
Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan4
Historical controls in clinical trials: a note on linking Pocock’s model with the robust mixture priors4
Quantifying uncertainty in spikes estimated from calcium imaging data3
Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies3
Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error3
Fast matrix completion in epigenetic methylation studies with informative covariates3
Prognosis of cancer survivors: estimation based on differential equations3
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach3
Doubly robust evaluation of high-dimensional surrogate markers3
Multiple imputation of more than one environmental exposure with nondifferential measurement error3
Bayesian multivariate probability of success using historical data with type I error rate control3
Multiscale analysis of count data through topic alignment3
A flexible approach for predictive biomarker discovery3
Functional support vector machine3
Feature selection for support vector regression using a genetic algorithm3
Bayesian group testing with dilution effects3
Bayesian mixed model inference for genetic association under related samples with brain network phenotype2
Predicting the onset of breast cancer using mammogram imaging data with irregular boundary2
A hierarchical prior for generalized linear models based on predictions for the mean response2
A probabilistic gene expression barcode for annotation of cell types from single-cell RNA-seq data2
Multi-trait analysis of gene-by-environment interactions in large-scale genetic studies2
Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling2
Uncertainty directed factorial clinical trials2
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping2
Modeling biomarker variability in joint analysis of longitudinal and time-to-event data2
Cohort-based smoothing methods for age-specific contact rates2
Designing three-level cluster randomized trials to assess treatment effect heterogeneity2
Identifying covariate-related subnetworks for whole-brain connectome analysis2
An imputation approach for a time-to-event analysis subject to missing outcomes due to noncoverage in disease registries2
A controlled effects approach to assessing immune correlates of protection2
Flexible evaluation of surrogacy in platform studies2
Separating and reintegrating latent variables to improve classification of genomic data2
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