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 2022-05-01 to 2026-05-01.)
ArticleCitations
Multi-study R -learner for estimating heterogeneous treatment effects across studies using statistical machine learning56
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 data18
Signal detection statistics of adverse drug events in hierarchical structure for matched case–control data16
Dynamic case-control sampling for rapid estimation of vaccine effectiveness against an emerging infectious disease variant15
Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data14
DifferentialRegulation : a Bayesian hierarchical approach to identify differentially regulated genes14
A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion13
Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies12
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders11
Analyzing microbial evolution through gene and genome phylogenies11
Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population11
A scalable approach for continuous time Markov models with covariates11
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders9
Determining vaccine responders in the presence of baseline immunity using single-cell assays and paired control samples9
An intersectional framework for counterfactual fairness in risk prediction9
Evaluating dynamic and predictive discrimination for recurrent event models: use of a time-dependent C-index9
Alleviating spatial confounding in frailty models9
Addressing the mean–variance relationship in spatially resolved transcriptomics data with spoon8
Correction to: A transformation perspective on marginal and conditional models8
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data8
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas8
A Bayesian approach to estimating COVID-19 incidence and infection fatality rates8
A Bayesian nonparametric approach to correct for underreporting in count data8
A scalable and unbiased discordance metric with H +7
Multiple exposure distributed lag models with variable selection7
Exponential family measurement error models for single-cell CRISPR screens7
Improved efficiency for cross-arm comparisons via platform designs6
Bayesian design of clinical trials using joint models for recurrent and terminating events5
Doubly robust evaluation of high-dimensional surrogate markers5
Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan5
A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV5
Functional support vector machine5
Fast matrix completion in epigenetic methylation studies with informative covariates4
Identifying predictors of resilience to stressors in single-arm studies of pre–post change4
A doubly robust framework for addressing outcome-dependent selection bias in multi-cohort EHR studies4
Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error4
SAM-HC: a Bayesian nonparametric construction of hybrid control for randomized clinical trials using external data4
Bayesian mapping of mortality clusters4
Multiple imputation of more than one environmental exposure with nondifferential measurement error4
Multiscale analysis of count data through topic alignment3
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping3
An imputation approach for a time-to-event analysis subject to missing outcomes due to noncoverage in disease registries3
Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies3
Risk functions with outcome measurement error3
Identifying covariate-related subnetworks for whole-brain connectome analysis3
A hierarchical prior for generalized linear models based on predictions for the mean response3
A flexible approach for predictive biomarker discovery3
Uncertainty directed factorial clinical trials3
Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition3
Flexible evaluation of surrogacy in platform studies3
Characterizing quantile-varying covariate effects under the accelerated failure time model2
Bayesian mixed model inference for genetic association under related samples with brain network phenotype2
A probabilistic gene expression barcode for annotation of cell types from single-cell RNA-seq data2
Longitudinal regression of covariance matrix outcomes2
Bayesian joint models for multi-regional clinical trials2
Instrumental variable approach to estimating individual causal effects in N-of-1 trials: application to ISTOP study2
Constrained groupwise additive index models2
Modeling biomarker variability in joint analysis of longitudinal and time-to-event data2
Cohort-based smoothing methods for age-specific contact rates2
Multi-trait analysis of gene-by-environment interactions in large-scale genetic studies2
Shortcomings of deep learning for distributional predictors: a note2
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks2
Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling2
A controlled effects approach to assessing immune correlates of protection2
Designing three-level cluster randomized trials to assess treatment effect heterogeneity2
Joint modeling of longitudinal and competing-risk data using cumulative incidence functions for the failure submodels accounting for potential failure cause misclassification through double sampling2
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams2
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