This paper extends the QUANTIN et al.'s (1996) Regression Survival Model for testing the proportional hazards assumption to the competing risk framework. Observed level and power of the test are investigated through simulation experiments for a binary covariate. An illustration of the test is given using the Stanford Heart Transplant Data
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
Competing risk analysis refers to a special type of survival analysis that aims to correctly estimat...
International audienceTo test the effect of a therapeutic or prognostic factor on the occurrence of ...
Competing risks occur often in survival analysis. In present work, we study different ap- proaches t...
The assumption of proportional hazards in different populations leads to elegant analy-sis of surviv...
Prognostic studies often involve modeling competing risks, where an individual can experience only o...
A wholly parametric non-proportional hazards survival model is introduced. The model retains CoxÕs c...
Competing risks occur frequently in survival analysis, and in some cases, the competing risks are no...
In survival analyses, competing risks are encountered where the subjects under study are at risk for...
The thesis concerns regression models related to the competing risks setting in survival analysis an...
We propose a method to analyse competing risks survival data when failure types are missing for some...
Here we consider a competing risks model where the two risks of interest are not independent. The de...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
Competing risk analysis refers to a special type of survival analysis that aims to correctly estimat...
International audienceTo test the effect of a therapeutic or prognostic factor on the occurrence of ...
Competing risks occur often in survival analysis. In present work, we study different ap- proaches t...
The assumption of proportional hazards in different populations leads to elegant analy-sis of surviv...
Prognostic studies often involve modeling competing risks, where an individual can experience only o...
A wholly parametric non-proportional hazards survival model is introduced. The model retains CoxÕs c...
Competing risks occur frequently in survival analysis, and in some cases, the competing risks are no...
In survival analyses, competing risks are encountered where the subjects under study are at risk for...
The thesis concerns regression models related to the competing risks setting in survival analysis an...
We propose a method to analyse competing risks survival data when failure types are missing for some...
Here we consider a competing risks model where the two risks of interest are not independent. The de...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
Competing risks data usually arises in studies in which the failure of an individual may be classifi...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
Competing risk analysis refers to a special type of survival analysis that aims to correctly estimat...
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