The goal of revents is make all the recurrent event functions for non-terminal events available for analysing recurrent events in chronic diseases. It is partially based on the master’s thesis: “Analysing recurrent events in Multiple Sclerosis: overview of statistical models with application in the MSOAC database”.
You can install the latest version of revents with:
install.packages('revents')To learn how to use the revents vignettes, refer to the vignette section. The vignette provides a step-by-step guide on how to use the tutorial to analyse recurrent events in chronic diseases.
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).
Kelly PJ, Lim LL. Survival analysis for recurrent event data: an application to childhood infectious diseases. Stat Med. 2000 Jan 15;19(1):13–33.
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.