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 2022-01-01 to 2026-01-01.)
ArticleCitations
Covariate adjustment in Bayesian adaptive randomized controlled trials203
Time-varying coefficient additive hazards model with latent variables120
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood46
Exact interval estimation for the linear combination of binomial proportions38
Confidence estimation based on data from independent studies35
Equivalence tests for ratio of means in bioequivalence studies under crossover design34
Implementing response-adaptive designs when responses are missing: Impute or ignore?31
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time27
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data27
Investigations of sharp bounds for causal effects under selection bias26
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly21
Analysis of hospital readmissions with competing risks21
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence20
Omnibus test for restricted mean survival time based on influence function20
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data19
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices19
Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint17
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance17
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