Competing Risk Modelling using Cumulative Incidence Function: Application to Recurrent Bladder Cancer Data
نویسندگان
چکیده
منابع مشابه
Cumulative incidence in competing risks data and competing risks regression analysis.
Competing risks occur commonly in medical research. For example, both treatment-related mortality and disease recurrence are important outcomes of interest and well-known competing risks in cancer research. In the analysis of competing risks data, methods of standard survival analysis such as the Kaplan-Meier method for estimation of cumulative incidence, the log-rank test for comparison of cum...
متن کاملComparison of competing risks models based on cumulative incidence function in analyzing time to cardiovascular diseases
BACKGROUND Competing risks arise when the subject is exposed to more than one cause of failure. Data consists of the time that the subject failed and an indicator of which risk caused the subject to fail. METHODS With three approaches consisting of Fine and Gray, binomial, and pseudo-value, all of which are directly based on cumulative incidence function, cardiovascular disease data of the Is...
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STUDY OBJECTIVE To study differences between various methods of estimating cancer risk in individuals. DESIGN Information was obtained from a cancer registry. Lifetime risk was calculated using the life table method, taking competing causes of death into account and using well recognised methods such as the cumulative rate and risk. SETTING Regional cancer registry of the Comprehensive Canc...
متن کاملFrailty modelling of testicular cancer incidence using Scandinavian data.
The incidence of testicular cancer is highest among young men, and then decreases sharply with age. This points towards a frailty effect, where some men have a much greater risk of testicular cancer than the majority of the male population. Those with the highest risk get cancer, drain the group of individuals at risk, and leave a healthy male population which has approximately zero risk of tes...
متن کاملCompeting Risks Data Analysis with High-dimensional Covariates: An Application in Bladder Cancer
Analysis of microarray data is associated with the methodological problems of high dimension and small sample size. Various methods have been used for variable selection in high-dimension and small sample size cases with a single survival endpoint. However, little effort has been directed toward addressing competing risks where there is more than one failure risks. This study compared three typ...
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ژورنال
عنوان ژورنال: FUOYE Journal of Engineering and Technology
سال: 2018
ISSN: 2579-0625,2579-0617
DOI: 10.46792/fuoyejet.v3i1.180