Statistics in Medicine

Papers
(The H4-Index of Statistics in Medicine is 23. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
167
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies94
78
The Whys, Whens, and Hows of Futility Monitoring71
Issue Information56
50
Confidence Intervals for AUC and pAUC by Empirical Likelihood41
A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions39
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial37
Optimal confidence intervals for the relative risk and odds ratio36
Synthesizing studies for comparing different treatment sequences in clinical trials33
Network and covariate adjusted response‐adaptive design for binary response32
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model31
30
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”29
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs29
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout28
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints28
A Review of Methods for Research Synthesis28
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime28
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example25
Bayesian additive regression trees for multivariate skewed responses24
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach24
Data fusion for predicting long‐term program impacts23
Probabilistic Clustering Using Multivariate Growth Mixture Model in Clinical Settings—A Scleroderma Example23
Bayesian mixture modelling with ranked set samples23
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