Flexible parametric modelling of cause-specific hazards to estimate 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 کاملParametric regression on cumulative incidence function.
We propose parametric regression analysis of cumulative incidence function with competing risks data. A simple form of Gompertz distribution is used for the improper baseline subdistribution of the event of interest. Maximum likelihood inferences on regression parameters and associated cumulative incidence function are developed for parametric models, including a flexible generalized odds rate ...
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In clinical studies the estimate of the probabilities of a first failure for specific causes (crude cumulative incidence) is of particular interest while the analysis of the cause specific hazard functions provide useful information on the disease dynamic for biological hypotheses generation and follow-up planning. Recently, the estimation of crude cumulative incidence has received great attent...
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In the competing risks problem, a useful quantity is the cumulative incidence function, which is the probability of occurrence by time t for a particular type of failure in the presence of other risks. The estimator of this function as given by Kalbfleisch and Prentice is consistent, and, properly normalized, converges weakly to a zero-mean Gaussian process with a covariance function for which ...
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Introduction: Probability density function (PDF) estimation is a very important issue in several interesting areas, such as blind signal processing and adaptive data processing. The estimation of the PDF or the cumulative density function (CDF) through use of an easy and fast method becomes a very important task. Several approaches exist [1] such as maximum likelihood estimation, kernel estimat...
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ژورنال
عنوان ژورنال: BMC Medical Research Methodology
سال: 2013
ISSN: 1471-2288
DOI: 10.1186/1471-2288-13-13