Biostatistics

Papers
(The median citation count of Biostatistics is 1. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Estimating diversity in networked ecological communities69
Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy21
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
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes13
Inference after latent variable estimation for single-cell RNA sequencing data12
Treed distributed lag nonlinear models12
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 heterogeneity8
Assessing the accuracy of predictive models with interval-censored data8
A benchmark for dose-finding studies with unknown ordering8
Integrative functional linear model for genome-wide association studies with multiple traits7
General tests of the Markov property in multi-state models7
Bayesian analysis of longitudinal and multidimensional functional data7
Two-part joint model for a longitudinal semicontinuous marker and a terminal event with application to metastatic colorectal cancer data7
Accounting for total variation and robustness in profiling health care providers7
Multiway generalized canonical correlation analysis7
A controlled effects approach to assessing immune correlates of protection7
A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks6
Efficient model-based bioequivalence testing6
Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach6
Sine-skewed toroidal distributions and their application in protein bioinformatics6
Principal curve approaches for inferring 3D chromatin architecture6
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
A meta-inference framework to integrate multiple external models into a current study5
Causal inference for recurrent event data using pseudo-observations5
A sparse additive model for treatment effect-modifier selection5
Surrogate-guided sampling designs for classification of rare outcomes from electronic medical records data5
Geographically dependent individual-level models for infectious diseases transmission5
Simultaneous differential network analysis and classification for matrix-variate data with application to brain connectivity5
Immune correlates analysis using vaccinees from test negative designs5
Doubly robust nonparametric instrumental variable estimators for survival outcomes5
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping4
A sparse negative binomial mixture model for clustering RNA-seq count data4
Interim recruitment prediction for multi-center clinical trials4
New approaches for testing non-inferiority for three-arm trials with Poisson distributed outcomes4
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis4
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies3
Bayesian multivariate probability of success using historical data with type I error rate control3
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
A divide-and-conquer method for sparse risk prediction and evaluation3
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators3
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease3
Single-index models with functional connectivity network predictors3
Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes3
A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict3
Depth importance in precision medicine (DIPM): a tree- and forest-based method for right-censored survival outcomes3
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
The role of body mass index at diagnosis of colorectal cancer on Black–White disparities in survival: a density regression mediation approach3
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting2
Bayesian group testing with dilution effects2
A Bayesian approach to estimating COVID-19 incidence and infection fatality rates2
Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population2
A note on median regression for complex surveys2
Information enhanced model selection for Gaussian graphical model with application to metabolomic data2
Bayesian adaptive design for concurrent trials involving biologically related diseases2
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach2
Fast approximate inference for multivariate longitudinal data2
Tailored Bayes: a risk modeling framework under unequal misclassification costs2
Blurring cluster randomized trials and observational studies: Two-Stage TMLE for subsampling, missingness, and few independent units2
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks2
Statistical modeling of longitudinal medical cost trajectory: renal cell cancer care cost analyses2
An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes2
Adaptive randomization in a two-stage sequential multiple assignment randomized trial2
Bayesian sample size determination in basket trials borrowing information between subsets2
Multiscale analysis of count data through topic alignment2
Capturing discrete latent structures: choose LDs over PCs2
A spatiotemporal recommendation engine for malaria control2
Individualized multi-omic pathway deviation scores using multiple factor analysis2
Adaptive treatment strategies for chronic conditions: shared-parameter G-estimation with an application to rheumatoid arthritis2
Testing for similarity of binary efficacy–toxicity responses2
Multiple exposure distributed lag models with variable selection2
Interpretable principal component analysis for multilevel multivariate functional data1
CoCoA: conditional correlation models with association size1
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth1
Prognosis of cancer survivors: estimation based on differential equations1
Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types1
An imputation approach for a time-to-event analysis subject to missing outcomes due to noncoverage in disease registries1
Cohort-based smoothing methods for age-specific contact rates1
Feature selection for support vector regression using a genetic algorithm1
Identifying covariate-related subnetworks for whole-brain connectome analysis1
A hidden Markov modeling approach for identifying tumor subclones in next-generation sequencing studies1
Corrigendum to: Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank1
A flexible approach for predictive biomarker discovery1
Testing calibration of phenotyping models using positive-only electronic health record data1
Quantifying uncertainty in spikes estimated from calcium imaging data1
Matrix decomposition for modeling lesion development processes in multiple sclerosis1
Flexible evaluation of surrogacy in platform studies1
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging–environment interactions1
Systematically missing data in causally interpretable meta-analysis1
A Bayesian nonparametric model for classification of longitudinal profiles1
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment1
A generalizability score for aggregate causal effect1
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method1
Estimation of the generation interval using pairwise relative transmission probabilities1
Nonparametric targeted Bayesian estimation of class proportions in unlabeled data1
A controlled effects approach to assessing immune correlates of protection1
Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing data1
Evaluation of treatment effect modification by biomarkers measured pre- and post-randomization in the presence of non-monotone missingness1
Bayesian multiregional clinical trials using model averaging1
Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer’s disease1
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