Statistics in Medicine

Papers
(The H4-Index of Statistics in Medicine is 25. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization195
Minimum sample size for external validation of a clinical prediction model with a binary outcome115
Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide88
Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning86
Extending inferences from a randomized trial to a new target population85
Graphical calibration curves and the integrated calibration index (ICI) for survival models84
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment84
Evaluation of various estimators for standardized mean difference in meta‐analysis73
Pleiotropy robust methods for multivariable Mendelian randomization62
Minimum sample size for external validation of a clinical prediction model with a continuous outcome46
Using propensity scores to estimate effects of treatment initiation decisions: State of the science45
Formulating causal questions and principled statistical answers43
Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study39
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2—More complex methods of adjustment and advanced topics39
Balancing vs modeling approaches to weighting in practice35
A modified self‐controlled case series method for event‐dependent exposures and high event‐related mortality, with application to COVID‐19 vaccine safety33
Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 132
Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome32
Estimating heterogeneous survival treatment effect in observational data using machine learning31
Win odds: An adaptation of the win ratio to include ties30
Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models28
Handling missing predictor values when validating and applying a prediction model to new patients27
Dismantling the Fragility Index: A demonstration of statistical reasoning27
Monitoring COVID‐19 contagion growth26
Genome‐wide association study‐based deep learning for survival prediction26
Bayesian workflow for disease transmission modeling in Stan25
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