2010
DOI: 10.1016/j.cmpb.2010.01.001
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The mstate package for estimation and prediction in non- and semi-parametric multi-state and competing risks models

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Cited by 300 publications
(316 citation statements)
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“…All analyses were based on intention to treat. For those who achieved CR cumulative incidences of isolated CNS or any CNS relapse, as well as testicular relapse, second malignancies and toxic deaths were constructed by the method of Kalbfleisch and Prentice 17,18 and the functions were compared with Gray's test. 19 All analyses concerning cumulative incidence were made with mstate library.…”
Section: Methodsmentioning
confidence: 99%
“…All analyses were based on intention to treat. For those who achieved CR cumulative incidences of isolated CNS or any CNS relapse, as well as testicular relapse, second malignancies and toxic deaths were constructed by the method of Kalbfleisch and Prentice 17,18 and the functions were compared with Gray's test. 19 All analyses concerning cumulative incidence were made with mstate library.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, we calculated the amount of bias, which was introduced by the Kaplan-Meier survival analysis by ignoring the presence of the competing risks. All analyses have been performed using the mstate library [18,19] in R [20].…”
Section: Discussionmentioning
confidence: 99%
“…These models-due to having a specific probability distribution for time to the occurrence of next state -make statistical inference more accurate and cause the standard errors of the estimations to be smaller in ratio with the time when there were no such assumptions. Modeling of transition rates in multistate models is often identified by Cox proportional hazard model (Klein et al, 1984;Kay, 1986;Andersen, 1988;Hougaard, 1999;Andersen and Keiding, 2002;Klein and Moeschberger, 2003;Putter et al, 2007;De Wreede et al, 2010;Jackson, 2011). Neither have these studies generally used proportional hazards assumption nor did they attempt to identify a suitable parametric model as an alternative to Cox proportional hazard model.…”
Section: Introductionmentioning
confidence: 99%