mstate: An R Package for the Analysis of Competing Risks and Multi-State Models
Multi-state models are a very useful tool to answer a wide range of questions in survival analysis that cannot, or only in a more complicated way, be answered by classical models. They are suitable for both biomedical and other applications in which time-to-event variables are analyzed. However, the...
Main Authors: | Liesbeth C. de Wreede, MArta Fiocco, Hein Putter |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2011-01-01
|
Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | http://www.jstatsoft.org/v38/i07/paper |
Similar Items
-
Special Issue about Competing Risks and Multi-State Models
by: Hein Putter
Published: (2011-01-01) -
Statistical models versus machine learning for competing risks: development and validation of prognostic models
by: Georgios Kantidakis, et al.
Published: (2023-02-01) -
Empirical Transition Matrix of Multi-State Models: The etm Package
by: Arthur Allignol, et al.
Published: (2011-01-01) -
Using Lexis Objects for Multi-State Models in R
by: Bendix Carstensen, et al.
Published: (2011-01-01) -
frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models
by: Theodor Adrian Balan, et al.
Published: (2019-07-01)