Statistical Methods in Medical Research

Papers
(The H4-Index of Statistical Methods in Medical Research is 17. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood238
Exact interval estimation for the linear combination of binomial proportions149
Confidence estimation based on data from independent studies62
Implementing response-adaptive designs when responses are missing: Impute or ignore?50
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data46
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly41
Investigations of sharp bounds for causal effects under selection bias40
Covariate adjustment in Bayesian adaptive randomized controlled trials35
Analysis of hospital readmissions with competing risks34
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence27
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time24
Omnibus test for restricted mean survival time based on influence function23
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint23
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices23
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data22
Bayesian feature selection in joint models with application to a cardiovascular disease cohort study21
Multiplicative versus additive modelling of causal effects using instrumental variables for survival outcomes – a comparison18
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance17
Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling17
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