Using EM and Data Augmentation for the Competing Risks Model
نویسندگان
چکیده
We consider a survival analysis problem in which items are subject to failure from competing risks. For some of the items, the failure cause is known only to belong to a subset of the set of all possible causes, while for the remaining items the cause of death is known precisely. In this chapter we investigate two complementary analyses based on models in which the hazard rates are assumed piecewise constant. The approaches proposed rely on the EM algorithm and its Bayesian counterpart, the data augmentation (DA) algorithm. An example is used to illustrate the advantages of each analysis.
منابع مشابه
Parametric Estimation in a Recurrent Competing Risks Model
A resource-efficient approach to making inferences about the distributional properties of the failure times in a competing risks setting is presented. Efficiency is gained by observing recurrences of the compet- ing risks over a random monitoring period. The resulting model is called the recurrent competing risks model (RCRM) and is coupled with two repair strategies whenever the system fails. ...
متن کاملComparison 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...
متن کاملکاربرد مدل ریسک رقابتی در شناسایی عوامل موثر بر زمان بقای بیماران مبتلا به سرطان کولورکتال
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 کاملبررسی بقای بیماران مبتلا به سرطان کولورکتال با استفاده از مدل ریسک رقابتی پارامتری
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 were recorded from 1060 patients with colorec...
متن کاملIntroduction to Competing Risk Model In the Epidemiological Research
Background and aims: Chronic kidney disease (CKD) is a public health challenge worldwide, with adverse consequences of kidney failure, cardiovascular disease (CVD), and premature death. Chronic kidney disease leads to the end stage of renal disease (ESRD), if late/not diagnosed. Competing risk modeling is a major issue in Epidemiology research. In Epidemiology study, sometimes inappropriate met...
متن کامل