Statistical Methods in Medical Research

Papers
(The H4-Index of Statistical Methods in Medical Research is 18. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
A tutorial on frailty models120
Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview93
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study55
Propensity score weighting under limited overlap and model misspecification49
Bootstrap inference for multiple imputation under uncongeniality and misspecification47
Random forests for high-dimensional longitudinal data41
Estimation of causal effects of multiple treatments in observational studies with a binary outcome39
Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting33
Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study32
Multiple imputation with missing data indicators32
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis30
Small sample sizes: A big data problem in high-dimensional data analysis28
Adjusted win ratio with stratification: Calculation methods and interpretation27
Estimation of required sample size for external validation of risk models for binary outcomes25
Sample size and sample composition for constructing growth reference centiles25
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials24
Detecting the skewness of data from the five-number summary and its application in meta-analysis23
Spatial scan statistics can be dangerous21
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number18
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