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 2021-04-01 to 2025-04-01.)

Article	Citations
Fast approximate inference for multivariate longitudinal data	32
Correction to: A transformation perspective on marginal and conditional models	22
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment	16
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method	13
Prognosis of cancer survivors: estimation based on differential equations	12
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis	11
Quantifying uncertainty in spikes estimated from calcium imaging data	10
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach	9
Bayesian sample size determination in basket trials borrowing information between subsets	8
A flexible approach for predictive biomarker discovery	8
Separating and reintegrating latent variables to improve classification of genomic data	8
Multiscale analysis of count data through topic alignment	8
Assessing the causal effects of a stochastic intervention in time series data: are heat alerts effective in preventing deaths and hospitalizations?	7
CoCoA: conditional correlation models with association size	7
A transformation perspective on marginal and conditional models	6
Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator	6
Designing three-level cluster randomized trials to assess treatment effect heterogeneity	6
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy	6
Inference after latent variable estimation for single-cell RNA sequencing data	6
A Bayesian nonparametric approach to correct for underreporting in count data	6
A scalable and unbiased discordance metric with H+	6
Neuroimaging meta regression for coordinate based meta analysis data with a spatial model	5
Doubly robust nonparametric instrumental variable estimators for survival outcomes	5
Exponential family measurement error models for single-cell CRISPR screens	5
Multiple exposure distributed lag models with variable selection	5

Mendelian randomization analysis using multiple biomarkers of an underlying common exposure	4
Adaptive randomization in a two-stage sequential multiple assignment randomized trial	4
Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling	4
Integrated causal-predictive machine learning models for tropical cyclone epidemiology	4
Improved fMRI-based pain prediction using Bayesian group-wise functional registration	4
A Bayesian semiparametric approach for inference on the population partly conditional mean from longitudinal data with dropout	4
Similarity-based multimodal regression	4
Doubly robust evaluation of high-dimensional surrogate markers	3
Accounting for technical noise in Bayesian graphical models of single-cell RNA-sequencing data	3
Corrigendum to: Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank	3
A Bayesian nonparametric model for classification of longitudinal profiles	3
Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer’s disease	3
Interpretable principal component analysis for multilevel multivariate functional data	3
Projection-based two-sample inference for sparsely observed multivariate functional data	3
Improved efficiency for cross-arm comparisons via platform designs	3
Longitudinal regression of covariance matrix outcomes	3
A controlled effects approach to assessing immune correlates of protection	3
Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data	3
Reassessing pharmacogenomic cell sensitivity with multilevel statistical models	3
Signal detection statistics of adverse drug events in hierarchical structure for matched case–control data	3
Estimation and false discovery control for the analysis of environmental mixtures	3
Bayesian design of clinical trials using joint models for recurrent and terminating events	2
A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion	2
Uncertainty directed factorial clinical trials	2
Identifying covariate-related subnetworks for whole-brain connectome analysis	2
Identifying predictors of resilience to stressors in single-arm studies of pre–post change	2
Constrained groupwise additive index models	2
Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies	2
Functional support vector machine	2
Bayesian adaptive model selection design for optimal biological dose finding in phase I/II clinical trials	2
Historical controls in clinical trials: a note on linking Pocock’s model with the robust mixture priors	2
Joint modeling of longitudinal and competing-risk data using cumulative incidence functions for the failure submodels accounting for potential failure cause misclassification through double sampling	2
A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV	2
DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes	2
Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan	2
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes	1
A note on median regression for complex surveys	1
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging–environment interactions	1
Bayesian joint models for multi-regional clinical trials	1
Cross-direct effects in settings with two mediators	1
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping	1
Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population	1
Systematically missing data in causally interpretable meta-analysis	1
Alleviating spatial confounding in frailty models	1
Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies	1
Estimation of sparse functional quantile regression with measurement error: a SIMEX approach	1
Bayesian multiregional clinical trials using model averaging	1
Multiple imputation of more than one environmental exposure with nondifferential measurement error	1
A scalable approach for continuous time Markov models with covariates	1
Smallerp-values in genomics studies using distilled auxiliary information	1

Predicting the onset of breast cancer using mammogram imaging data with irregular boundary	1
An intersectional framework for counterfactual fairness in risk prediction	1
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders	1
Single-index models with functional connectivity network predictors	1
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks	1
A meta-inference framework to integrate multiple external models into a current study	1
Feature selection for support vector regression using a genetic algorithm	1
Analyzing microbial evolution through gene and genome phylogenies	1
Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error	1
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders	1
Variable selection in high dimensions for discrete-outcome individualized treatment rules: Reducing severity of depression symptoms	1
Bayesian semiparametric model for sequential treatment decisions with informative timing	1
Modeling biomarker variability in joint analysis of longitudinal and time-to-event data	1
Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials	1