OOIR: Observatory of International Research

Papers

(The TQCC of Biostatistics is 2. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Stochastic EM algorithm for partially observed stochastic epidemics with individual heterogeneity	27
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis	19
Prognosis of cancer survivors: estimation based on differential equations	18
Fast approximate inference for multivariate longitudinal data	16
Correction to: A transformation perspective on marginal and conditional models	13
CoCoA: conditional correlation models with association size	13
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment	12
Multiscale analysis of count data through topic alignment	11
Exponential family measurement error models for single-cell CRISPR screens	8
A greedy approach for mutual exclusivity analysis in cancer study	8
Separating and reintegrating latent variables to improve classification of genomic data	8
Neuroimaging meta regression for coordinate based meta analysis data with a spatial model	7
Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator	6
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach	6
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy	6
Assessing the causal effects of a stochastic intervention in time series data: are heat alerts effective in preventing deaths and hospitalizations?	6
Dynamic and concordance-assisted learning for risk stratification with application to Alzheimer’s disease	6
Bayesian sample size determination in basket trials borrowing information between subsets	5
Designing three-level cluster randomized trials to assess treatment effect heterogeneity	5
A scalable and unbiased discordance metric with H+	5
A Bayesian nonparametric approach to correct for underreporting in count data	5
Quantifying uncertainty in spikes estimated from calcium imaging data	4
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes	4
Simultaneous differential network analysis and classification for matrix-variate data with application to brain connectivity	4
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method	4

A transformation perspective on marginal and conditional models	4
Regression and alignment for functional data and network topology	3
Multiple exposure distributed lag models with variable selection	3
Fast standard error estimation for joint models of longitudinal and time-to-event data based on stochastic EM algorithms	3
A Bayesian semiparametric approach for inference on the population partly conditional mean from longitudinal data with dropout	3
A flexible approach for predictive biomarker discovery	3
Improved fMRI-based pain prediction using Bayesian group-wise functional registration	3
Adaptive randomization in a two-stage sequential multiple assignment randomized trial	3
Testing for similarity of binary efficacy–toxicity responses	3
A semiparametric Gaussian mixture model for chest CT-based 3D blood vessel reconstruction	3
Inference after latent variable estimation for single-cell RNA sequencing data	3
Penalized model-based clustering of fMRI data	3
Corrigendum to: Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank	3
Doubly robust nonparametric instrumental variable estimators for survival outcomes	2
Functional quantile principal component analysis	2
Similarity-based multimodal regression	2
A modeling framework for detecting and leveraging node-level information in Bayesian network inference	2
Accounting for technical noise in Bayesian graphical models of single-cell RNA-sequencing data	2
Bayesian design of clinical trials using joint models for recurrent and terminating events	2
Reassessing pharmacogenomic cell sensitivity with multilevel statistical models	2
Incorporating prior information in gene expression network-based cancer heterogeneity analysis	2
Longitudinal regression of covariance matrix outcomes	2
Adaptive Gaussian Markov random fields for child mortality estimation	2
Signal detection statistics of adverse drug events in hierarchical structure for matched case–control data	2
A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion	2
Structure-preserving integrated analysis for risk stratification with application to cancer staging	2
Mendelian randomization analysis using multiple biomarkers of an underlying common exposure	2
A Bayesian pharmacokinetics integrated phase I–II design to optimize dose-schedule regimes	2
Exposure proximal immune correlates analysis	2
Integrated causal-predictive machine learning models for tropical cyclone epidemiology	2
Projection-based two-sample inference for sparsely observed multivariate functional data	2
Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling	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
Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies	2
Selection processes, transportability, and failure time analysis in life history studies	2
Improved efficiency for cross-arm comparisons via platform designs	2