Classical Regression Models for Competing Risks
نویسندگان
چکیده
8.
منابع مشابه
Comparison of Random Survival Forests for Competing Risks and Regression Models in Determining Mortality Risk Factors in Breast Cancer Patients in Mahdieh Center, Hamedan, Iran
Introduction: Breast cancer is one of the most common cancers among women worldwide. Patients with cancer may die due to disease progression or other types of events. These different event types are called competing risks. This study aimed to determine the factors affecting the survival of patients with breast cancer using three different approaches: cause-specific hazards regression, subdistri...
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The classical approach to the modeling of discrete time competing risks consists of fitting multinomial logit models where parameters are estimated using maximum likelihood theory. Since the effects of covariates are specific to the target events, the resulting models contain a large number of parameters, even if there are only few predictor variables. Due to the large number of parameters clas...
متن کاملCompeting risks survival analysis with recurrent events
The competing risks too arise when one type of event may affect the probability of occurrence of other events. Some authors have made important contributions in this area of research, multistate multivariate models have been proposed. Varieties of record are frequently encountered in areas as medicine, engineering, sociology, biology, social science, among others. Classical survival analysis mo...
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Background and Objective: Colorectal cancer is the most common cancer of digestive system in Iran.The incidence of this cancer has increased in recent years.The aim of this study was to evaluate the survival rate and to define the prognostic factors in Iranian colorectal cancer patients using competing risk model. Materials and Methods: Data recorded from 1060 patients with colorectal cancer...
متن کاملThe use and interpretation of competing risks regression models.
PURPOSE Competing risks observations, in which patients are subject to a number of potential failure events, are a feature of most clinical cancer studies. With competing risks, several modeling approaches are available to evaluate the relationship of covariates to cause-specific failures. We discuss the use and interpretation of commonly used competing risks regression models. EXPERIMENTAL D...
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