نتایج جستجو برای: cox hazard function
تعداد نتایج: 1301063 فیلتر نتایج به سال:
Recently Fan and colleagues have proposed two measures of the strength of dependency between failure time variates over a finite region of the sample space; namely, an average relative risk measure and a finite region version of Kendall’s tau. Here, these dependency measures are generalized to accommodate regression effects on marginal hazard functions. Specifically, the dependency measures pre...
abstract in the increasing population of the elderly in iran, so far no prospective health studies have been undertaken. this study was conducted to identify the risk factors of survival time of the elderly of ages above 60 years. material and methods: individuals above 60 years old were recruited in the primary phase of the tehran lipid and glucose study (tlgs) during 1998-2001. they...
background: the incidence of restenosis in patients suffering from coronary artery disease after undergoing angioplasty is of paramount importance. accordingly, this study aimed to investigate factors affecting the time of the first incidence of restenosis in patients undergone angioplasty in the city of zanjan, iran. methods: this retrospective cohort study was conducted on 421 patients who ...
this study was designed to investigate causes of culling in industrial dairy herds in fars province and to describe the pattern of reason-specific culling with respect to age of animal and interval from calving to culling. a total number of 9 dairy herds were selected for the study and information about culling reasons, birth date, last calving date and culling date was collected for culled cow...
The natural direct and indirect effects in causal mediation analysis with survival data having one mediator is addressed by VanderWeele. He derived an approach for (1) accelerated failure time regression model general cases (2) a proportional hazards when the time-to-event outcome rare. If not rare, then VanderWeele did derive simple closed-form expression log-natural because baseline cumulativ...
BACKGROUND Regression models for survival data have traditionally been based on the Cox regression model. However, its validity relies heavily on assumption of proportional hazards. Another restriction of the Cox model is insufficiency in dealing with time-varying covariate effects, since the regression coefficients are assumed constant. These weaknesses have generated interest in alternative a...
Background & Objectives: Although the population of elderly is increasing in Iran, few studies carried out on this group. The aim of this study was to identify life expectancy and contributory risk factors for the Tehranian elderly of ages above 60 years. Methods: Individuals above 60 years old whom were recruited in the primary phase of the Tehran Lipid and Glucose Study (TLGS) during 1998-20...
This paper describes the properties of a two-stage estimator of the dependence parameter in the Clayton-Oakes multivariate failure time model. The parameter is estimated from a likelihood function in which the marginal hazard functions are replaced by estimates. The method extends the approach of Shih and Louis (1995) and Genest, Ghoudi and Rivest (1995) to allow the marginal hazard for failure...
Abstract Background and purpose: Asthma is one of the most common chronic diseases worldwide and its prevalence has increased over the past decades in industrialized and developing countries. Cox proportional hazards model is one of the main models used in the analysis of survival data. This study was performed to evaluate the Stratified cox model in identifying the factors influencing readm...
An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable. Spatial correlation of censored survival data is one of these sources that are rarely considered in the literatures. In this paper,...
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