Competing risks refer to the situation where there are multiple causes of failure and occurrence one type event prohibits other types or alters chance observe them. In large cohort studies with long-term follow-up, often competing risks. When events rare, information on certain risk factors is difficult costly measure for full cohort, a case-cohort study design can be desirable approach. this p...

Aalen’s additive hazards model has gained increasing attention in recently years because it model all covariate effects as time-varying. In this thesis, our goal is to explore the application of Aalen’s model in assessing treatment effect at a given time point with varying covariate effects. First, based on Aalen’s model, we utilize the direct adjustment method to obtain the adjusted survival o...

BACKGROUND Modelling competing risks is an essential issue in Nephrology Research. In peritoneal dialysis studies, sometimes inappropriate methods (i.e. Kaplan-Meier method) have been used to estimate probabilities for an event of interest in the presence of competing risks. In this situation a competing risk analysis should be preferable. The objectives of this study are to describe the bias r...

OBJECTIVES There is evidence to suggest that noncompliant and nonpersistent behaviors have differing risk factors, clinical consequences, and responses to intervention. This has led to calls for these behaviors to be defined and measured separately to characterize medication-taking behavior comprehensively. Current prescription refill models of compliance are, however, unable to appropriately d...

OBJECTIVE It was the aim of this study to develop models for the prediction of preeclampsia (PE) based on maternal characteristics and biophysical markers at 11-13 weeks' gestation in which gestation at the time of delivery for PE is treated as a continuous variable. METHODS This was a screening study of singleton pregnancies at 11-13 weeks including 1,426 (2.4%) cases that subsequently devel...

The problem concerning elimination of causes and its impact has been a longstanding problem in the field of survival analysis. In this paper, a covariate dependent model based on proportional hazards has been proposed. In addition, a test procedure is suggested for testing the independence of competing risks based on Islam [1, 2]. The estimation and test procedures are applied to analyze the co...

Semiparametric mixture regression models have recently been proposed to model competing risks data in survival analysis. In particular, Ng and McLachlan (Stat Med 22:1097–1111, 2003) and Escarela and Bowater (Commun Stat Theory Methods 37:277–293, 2008) have investigated the computational issues associated with the nonparametric maximum likelihood estimation method in a multinomial logistic/pro...

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 piec...

Abstract Background and objectives: Leukemia is one of the most prevalent cancers worldwide. The relapse of the disease mitigates patient survival time. The convenience of explaining the results obtained from analyzing tree models have encouraged doctors and paramedics to employ them in their research. The current study is an attempt to determine the five-year survival time and factors influen...