2011
DOI: 10.18637/jss.v038.i07
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mstate: AnRPackage for the Analysis of Competing Risks and Multi-State Models

Abstract: 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-toevent variables are analyzed. However, they are still not frequently applied. So far, an important reason for this has been the lack of available software. To overcome this problem, we have developed the mstate package in R for the analysis of multi-state mo… Show more

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Cited by 330 publications
(303 citation statements)
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“…We fitted the model in the R package mstate [22,23]. The structure of the model is shown in Figure 2.…”
Section: Methodsmentioning
confidence: 99%
“…We fitted the model in the R package mstate [22,23]. The structure of the model is shown in Figure 2.…”
Section: Methodsmentioning
confidence: 99%
“…All patients had pre-treatment staging with a lung CT-scan to rule out the presence of metastasis. Thirty-four patients were excluded from analysis (presentation with metastases (11), recurrent disease (16), no operative treatment (7)) resulting in a cohort of 127 patients (mean age at time of diagnosis: 48 years (range five to 91), including nine children; male/female ratio 1:0.87).…”
Section: Methodsmentioning
confidence: 99%
“…Statistical analyses were performed by R 3.0 with survey, mstate, rms, clinfun, and pec packages. [30][31][32][33][34][35][36] …”
Section: Statistical Analysesmentioning
confidence: 99%