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 2020-04-01 to 2024-04-01.)
ArticleCitations
Estimating diversity in networked ecological communities71
Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy22
Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank16
Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials15
Treed distributed lag nonlinear models14
Inference after latent variable estimation for single-cell RNA sequencing data14
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes13
A probabilistic gene expression barcode for annotation of cell types from single-cell RNA-seq data10
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization10
Predicting the onset of breast cancer using mammogram imaging data with irregular boundary9
Designing three-level cluster randomized trials to assess treatment effect heterogeneity9
A benchmark for dose-finding studies with unknown ordering8
Accounting for total variation and robustness in profiling health care providers8
Multiway generalized canonical correlation analysis7
Two-part joint model for a longitudinal semicontinuous marker and a terminal event with application to metastatic colorectal cancer data7
Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach7
Bayesian analysis of longitudinal and multidimensional functional data7
General tests of the Markov property in multi-state models7
Integrative functional linear model for genome-wide association studies with multiple traits7
A controlled effects approach to assessing immune correlates of protection7
Sine-skewed toroidal distributions and their application in protein bioinformatics6
Efficient model-based bioequivalence testing6
A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks6
Principal curve approaches for inferring 3D chromatin architecture6
Doubly robust nonparametric instrumental variable estimators for survival outcomes6
Immune correlates analysis using vaccinees from test negative designs6
Bayesian adaptive model selection design for optimal biological dose finding in phase I/II clinical trials6
Integrated causal-predictive machine learning models for tropical cyclone epidemiology6
Surrogate-guided sampling designs for classification of rare outcomes from electronic medical records data5
Simultaneous differential network analysis and classification for matrix-variate data with application to brain connectivity5
Causal inference for recurrent event data using pseudo-observations5
A meta-inference framework to integrate multiple external models into a current study5
A sparse additive model for treatment effect-modifier selection5
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping4
A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict4
A sparse negative binomial mixture model for clustering RNA-seq count data4
Interim recruitment prediction for multi-center clinical trials4
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis4
New approaches for testing non-inferiority for three-arm trials with Poisson distributed outcomes4
Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes4
A divide-and-conquer method for sparse risk prediction and evaluation3
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies3
Depth importance in precision medicine (DIPM): a tree- and forest-based method for right-censored survival outcomes3
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data3
Modeling continuous glucose monitoring (CGM) data during sleep3
Penalized model-based clustering of fMRI data3
Bayesian multivariate probability of success using historical data with type I error rate control3
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease3
Single-index models with functional connectivity network predictors3
Bayesian adaptive design for concurrent trials involving biologically related diseases3
The role of body mass index at diagnosis of colorectal cancer on Black–White disparities in survival: a density regression mediation approach3
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators3
Joint modeling and multiple comparisons with the best of data from a SMART with survival outcomes3
Historical controls in clinical trials: a note on linking Pocock’s model with the robust mixture priors3
Direct modeling of the crude probability of cancer death and the number of life years lost due to cancer without the need of cause of death: a pseudo-observation approach in the relative survival sett3
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