Statistical Methods in Medical Research

Papers
(The H4-Index of Statistical Methods in Medical Research is 18. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood244
Exact interval estimation for the linear combination of binomial proportions151
Confidence estimation based on data from independent studies66
Implementing response-adaptive designs when responses are missing: Impute or ignore?50
Analysis of hospital readmissions with competing risks49
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence42
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly40
Investigations of sharp bounds for causal effects under selection bias37
Omnibus test for restricted mean survival time based on influence function36
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time28
Covariate adjustment in Bayesian adaptive randomized controlled trials27
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data25
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices24
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint23
Generalized Bayesian kernel machine regression21
New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models18
A family of Bayesian prognostic and predictive covariate-adjusted response-adaptive randomization designs18
Bayesian feature selection in joint models with application to a cardiovascular disease cohort study18
0.43030095100403