Biostatistics

Papers
(The TQCC of Biostatistics is 3. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Inference after latent variable estimation for single-cell RNA sequencing data24
Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials18
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes18
Treed distributed lag nonlinear models16
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization13
Designing three-level cluster randomized trials to assess treatment effect heterogeneity12
A probabilistic gene expression barcode for annotation of cell types from single-cell RNA-seq data11
Predicting the onset of breast cancer using mammogram imaging data with irregular boundary11
Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach9
Integrative functional linear model for genome-wide association studies with multiple traits8
Bayesian analysis of longitudinal and multidimensional functional data8
Bayesian adaptive model selection design for optimal biological dose finding in phase I/II clinical trials8
A benchmark for dose-finding studies with unknown ordering8
A controlled effects approach to assessing immune correlates of protection8
Integrated causal-predictive machine learning models for tropical cyclone epidemiology7
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease7
Principal curve approaches for inferring 3D chromatin architecture7
A sparse negative binomial mixture model for clustering RNA-seq count data6
A meta-inference framework to integrate multiple external models into a current study6
A controlled effects approach to assessing immune correlates of protection6
Doubly robust nonparametric instrumental variable estimators for survival outcomes6
Sine-skewed toroidal distributions and their application in protein bioinformatics6
Simultaneous differential network analysis and classification for matrix-variate data with application to brain connectivity6
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators5
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping5
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis5
Bayesian multivariate probability of success using historical data with type I error rate control4
Historical controls in clinical trials: a note on linking Pocock’s model with the robust mixture priors4
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data4
Adaptive randomization in a two-stage sequential multiple assignment randomized trial4
Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations4
Blurring cluster randomized trials and observational studies: Two-Stage TMLE for subsampling, missingness, and few independent units4
Fast approximate inference for multivariate longitudinal data4
Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing data3
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks3
Penalized model-based clustering of fMRI data3
A flexible approach for predictive biomarker discovery3
Modeling biomarker variability in joint analysis of longitudinal and time-to-event data3
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging–environment interactions3
Bayesian sample size determination in basket trials borrowing information between subsets3
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting3
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth3
Estimation of sparse functional quantile regression with measurement error: a SIMEX approach3
Information enhanced model selection for Gaussian graphical model with application to metabolomic data3
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment3
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