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 2021-11-01 to 2025-11-01.)
ArticleCitations
Covariate adjustment in Bayesian adaptive randomized controlled trials181
Time-varying coefficient additive hazards model with latent variables111
Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood41
Exact interval estimation for the linear combination of binomial proportions33
Omnibus test for restricted mean survival time based on influence function33
Confidence estimation based on data from independent studies31
Equivalence tests for ratio of means in bioequivalence studies under crossover design28
Implementing response-adaptive designs when responses are missing: Impute or ignore?27
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly21
A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data21
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence20
Analysis of hospital readmissions with competing risks20
A new cure model accounting for longitudinal data and flexible patterns of hazard ratios over time20
Generalised pairwise comparisons for trend: An extension to the win ratio and win odds for dose-response and prognostic variable analysis with arbitrary statements of outcome preference18
Investigations of sharp bounds for causal effects under selection bias18
Accounting for informative observation process in transition models of binary longitudinal outcome: Application to medical record data18
Modeling and estimating a threshold effect: An application to improving cardiac surgery practices18
A capture-recapture modeling framework emphasizing expert opinion in disease surveillance17
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