Comparing center-specific cumulative incidence functions
نویسندگان
چکیده
منابع مشابه
Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions
BACKGROUND Competing risks are a common occurrence in survival analysis. They arise when a patient is at risk of more than one mutually exclusive event, such as death from different causes, and the occurrence of one of these may prevent any other event from ever happening. METHODS There are two main approaches to modelling competing risks: the first is to model the cause-specific hazards and ...
متن کاملAssessing cumulative incidence functions under the semiparametric additive risk model.
In analyzing competing risks data, a quantity of considerable interest is the cumulative incidence function. Often, the effect of covariates on the cumulative incidence function is modeled via the proportional hazards model for the cause-specific hazard function. As the proportionality assumption may be too restrictive in practice, we consider an alternative more flexible semiparametric additiv...
متن کاملOrder restricted inference for comparing the cumulative incidence of a competing risk over several populations
There is a substantial literature on testing for the equality of the cumulative incidence functions associated with one specific cause in a competing risks setting across several populations against specific or all alternatives. In this paper we propose an asymptotically distribution-free test when the alternative is that the incidence functions are linearly ordered, but not equal. The motivati...
متن کاملA Class of K-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your perso...
متن کاملMethods for comparing cumulative hazard functions in a semi-proportional hazard model.
Graphical methods based on the analysis of differences between log cumulative hazard functions are considered for a two-group semi-proportional hazard model which allows for interaction between treatments and covariates. Confidence procedures and test statistics that can be used to test for interaction and for main effects are developed. Their use is illustrated by applying them to the analysis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2015
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-015-9324-1