Email this article 
Hide
Show all
| Authors: | Dimitris Rizopoulos | ||||
| Title: | JM: An R Package for the Joint Modelling of Longitudinal and Time-to-Event Data | ||||
| Abstract: | In longitudinal studies measurements are often collected on different types of outcomes for each subject. These may include several longitudinally measured responses (such as blood values relevant to the medical condition under study) and the time at which an event of particular interest occurs (e.g., death, development of a disease or dropout from the study). These outcomes are often separately analyzed; however, in many instances, a joint modeling approach is either required or may produce a better insight into the mechanisms that underlie the phenomenon under study. In this paper we present the R package JM that fits joint models for longitudinal and time-to-event data. | ||||
|
Page views:: 19013. Submitted: 2009-08-31. Published: 2010-07-26. |
|||||
| Paper: |
JM: An R Package for the Joint Modelling of Longitudinal and Time-to-Event Data
Download PDF
(Downloads: 24121)
|
||||
| Supplements: |
| ||||
| DOI: |
10.18637/jss.v035.i09
|
This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |