The goal of revents is to provide a collection of vignettes that explain key statistical models and functions for analyzing recurrent events in the context of non-terminal events, especially in chronic disease settings. It is based on the master’s thesis “Analysing recurrent events in Multiple Sclerosis: overview of statistical models with application in the MSOAC database.”
Tutorial
In the vignettes section you will find a step-by-step guide on how to perform the main models for analyzing recurrent events in non-terminal events in R. The simulated data used in the vignettes (Data layout 1, 2 and 3) is available in the data folder in the shared GitHub repository or it can be obtained by following the code since the simulated of clinical trial data vignette. The revents package does not need to be installed to use the vignettes.
Bibliography
Amorim LD, Cai J. Modelling recurrent events: a tutorial for analysis in epidemiology. Int J Epidemiol. 2015 Feb;44(1):324–33.
Andersen PK, Gill RD. Cox’s Regression Model for Counting Processes: A Large Sample Study. Ann Stat. 1982;10(4):1100–20. Bühler A, Wolbers M, Model F, Wang Q, Belachew S, Manfrini M, et al. Recurrent disability progression endpoints in multiple sclerosis clinical trials. Mult Scler Houndmills Basingstoke Engl. 2023 Jan;29(1):130–9.
Bühler A, Wang Q, Wolbers M, Model F, Beyersmann J. Comparison of Time-To-First-Event and Recurrent Event Methods in Multiple Sclerosis Trials. 2019.
Cook RJ, Lawless J. The Statistical Analysis of Recurrent Events [Internet]. New York, NY: Springer; 2007 [cited 2024 Feb 13]. (Statistics for Biology and Health).
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Wang YC, Meyerson L, Tang YQ, Qian N. Statistical methods for the analysis of relapse data in MS clinical trials. J Neurol Sci. 2009 Oct 15;285(1):206–11.
Citation
If you use the revents vignettes in your work, please cite the following article published in the Journal of Neurology:
“Analyzing recurrent events in multiple sclerosis: a review of statistical models with application to the MSOAC database,” authored by David Herman, Julien Tanniou, Emmanuelle Leray, Chloé Pierret, and Quentin Pilard.