نتایج جستجو برای: proportional hazard model

تعداد نتایج: 2192875  

Baha-Eldin Khaledi, Sepiede Farsinejad,

 In this paper, we study stochastic comparisons of order statistics of independent random variables with proportional hazard rates, using the notion of variance majorization.

2014
Ramesh C. Gupta Cheng Peng R. C. Gupta C. Peng

In this paper, we present some distributional properties of the survival and frailty distribution involved in the proportional odds (PO) frailty model. Stochastic orderings are studied for this proportional odds frailtymodel. It is showed that negative dependence arises in the PO frailty model as opposed to the proportional hazard frailty model.

2014
Francisco Louzada Vicente G. Cancho Mauro R. Oliveira Bao Yiqi

In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a personal loan portfolio in presence of disproportionate hazard rate. The main contribution of this paper is to evidence that mixture cure models are appropriate for non proportional sceneries, which has not been claimed in recent articles that brings survival analysis approach for credit scoring ...

Journal: :Asian Pacific journal of cancer prevention : APJCP 2011
Alireza Abadi Saeed Saadat Parvin Yavari Chris Bajdik Parvin Jalili

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...

2015
Amal Saki Malehi Fatemeh Pourmotahari Kambiz Ahmadi Angali

Skewed data is the main issue in statistical models in healthcare costs. Data transformation is a conventional method to decrease skewness, but there are some disadvantages. Some recent studies have employed generalized linear models (GLMs) and Cox proportional hazard regression as alternative estimators. The aim of this study was to investigate how well these alternative estimators perform in ...

ژورنال: پژوهش های ریاضی 2016
Mohammadzadeh , M, Abyar, A, Motarjem , K,

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,...

Journal: :Journal of the Royal Statistical Society: Series C (Applied Statistics) 2016

2013
Patrick Royston Yinghui Wei Jayne Tierney Mahesh Parmar

Methods We analyse survival data reconstructed from two trials publications which reported extreme non-proportional hazards (with respective p-values as 9.19E-13 and 1.344E-24 in non-PH Grambsch-Thernau test). We use the Cox proportional hazards model, flexible parametric model and accelerated failure time model to estimate the time-independent hazard ratio, between-arm difference in restricted...

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