joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes
Author:
Funder
Medical Research Council
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Epidemiology
Link
http://link.springer.com/content/pdf/10.1186/s12874-018-0502-1.pdf
Reference53 articles.
1. Ibrahim JG, Chu H, Chen LM. Basic concepts and methods for joint models of longitudinal and survival data. J Clin Oncol. 2010; 28(16):2796–801.
2. Sweeting MJ, Thompson SG. Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture. Biom J. 2011; 53(5):750–63.
3. Henderson R, Diggle PJ, Dobson A. Joint modelling of longitudinal measurements and event time data. Biostatistics. 2000; 1(4):465–480.
4. Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: an overview. Stat Sin. 2004; 14:809–34.
5. Gould AL, Boye ME, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY. Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group. Stat Med. 2015; 34:2181–95.
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