OOIR: Observatory of International Research

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 2020-10-01 to 2024-10-01.)

Article	Citations
Inference after latent variable estimation for single-cell RNA sequencing data	24
Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials	18
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes	18
Treed distributed lag nonlinear models	16
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization	13
Designing three-level cluster randomized trials to assess treatment effect heterogeneity	12
Predicting the onset of breast cancer using mammogram imaging data with irregular boundary	11
A probabilistic gene expression barcode for annotation of cell types from single-cell RNA-seq data	11
Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach	9
A benchmark for dose-finding studies with unknown ordering	8
A controlled effects approach to assessing immune correlates of protection	8
Integrative functional linear model for genome-wide association studies with multiple traits	8
Bayesian analysis of longitudinal and multidimensional functional data	8
Bayesian adaptive model selection design for optimal biological dose finding in phase I/II clinical trials	8
Integrated causal-predictive machine learning models for tropical cyclone epidemiology	7
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease	7
Principal curve approaches for inferring 3D chromatin architecture	7
Sine-skewed toroidal distributions and their application in protein bioinformatics	6
Simultaneous differential network analysis and classification for matrix-variate data with application to brain connectivity	6
A sparse negative binomial mixture model for clustering RNA-seq count data	6
A meta-inference framework to integrate multiple external models into a current study	6
A controlled effects approach to assessing immune correlates of protection	6
Doubly robust nonparametric instrumental variable estimators for survival outcomes	6
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis	5
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators	5

Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping	5
Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations	4
Blurring cluster randomized trials and observational studies: Two-Stage TMLE for subsampling, missingness, and few independent units	4
Fast approximate inference for multivariate longitudinal data	4
Bayesian multivariate probability of success using historical data with type I error rate control	4
Historical controls in clinical trials: a note on linking Pocock’s model with the robust mixture priors	4
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data	4
Adaptive randomization in a two-stage sequential multiple assignment randomized trial	4
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth	3
Estimation of sparse functional quantile regression with measurement error: a SIMEX approach	3
Information enhanced model selection for Gaussian graphical model with application to metabolomic data	3
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment	3
Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing data	3
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks	3
Penalized model-based clustering of fMRI data	3
A flexible approach for predictive biomarker discovery	3
Modeling biomarker variability in joint analysis of longitudinal and time-to-event data	3
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging–environment interactions	3
Bayesian sample size determination in basket trials borrowing information between subsets	3
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting	3
Tailored Bayes: a risk modeling framework under unequal misclassification costs	2
Marginal structural models for multilevel clustered data	2
A spatiotemporal recommendation engine for malaria control	2
Systematically missing data in causally interpretable meta-analysis	2
An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes	2
Improved efficiency for cross-arm comparisons via platform designs	2
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach	2
Multiscale analysis of count data through topic alignment	2
Bayesian group testing with dilution effects	2
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies	2
A Bayesian approach to estimating COVID-19 incidence and infection fatality rates	2
An intersectional framework for counterfactual fairness in risk prediction	2
Feature selection for support vector regression using a genetic algorithm	2
Identifying covariate-related subnetworks for whole-brain connectome analysis	2
Corrigendum to: Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank	2
CoCoA: conditional correlation models with association size	2
Exponential family measurement error models for single-cell CRISPR screens	2
Capturing discrete latent structures: choose LDs over PCs	2
Single-index models with functional connectivity network predictors	2
Flexible evaluation of surrogacy in platform studies	2
A note on median regression for complex surveys	2
Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population	2
Testing for similarity of binary efficacy–toxicity responses	2
Prognosis of cancer survivors: estimation based on differential equations	2
Multiple exposure distributed lag models with variable selection	2
Assessing risk model calibration with missing covariates	1
A transformation perspective on marginal and conditional models	1
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method	1
Testing calibration of phenotyping models using positive-only electronic health record data	1
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders	1

Semi-supervised mixture multi-source exchangeability model for leveraging real-world data in clinical trials	1
Doubly robust evaluation of high-dimensional surrogate markers	1
Interpretable principal component analysis for multilevel multivariate functional data	1
An imputation approach for a time-to-event analysis subject to missing outcomes due to noncoverage in disease registries	1
Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data	1
Longitudinal regression of covariance matrix outcomes	1
Quantifying uncertainty in spikes estimated from calcium imaging data	1
Multi-trait analysis of gene-by-environment interactions in large-scale genetic studies	1
Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types	1
Bayesian multiregional clinical trials using model averaging	1
Cohort-based smoothing methods for age-specific contact rates	1
Constrained groupwise additive index models	1
Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan	1
Analyzing microbial evolution through gene and genome phylogenies	1
A Bayesian nonparametric model for classification of longitudinal profiles	1
Similarity-based multimodal regression	1
A scalable and unbiased discordance metric with H+	1
A generalizability score for aggregate causal effect	1
A Bayesian multivariate factor analysis model for causal inference using time-series observational data on mixed outcomes	1
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders	1
Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer’s disease	1
Characterizing quantile-varying covariate effects under the accelerated failure time model	1
Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies	1