In the frame of the Cox proportional hazard (PH) model, a novel two-step procedure for estimating age-period-cohort (APC) effects on the hazard function of death from cancer was developed. In the first step, the procedure estimates the influence of joint APC effects on the hazard function, using Cox PH regression procedures from a standard software package. In the second step, the coefficients ...

Proportional hazards regression model assumes that the covariates affect the hazard function through a link function and an index which is a linear function of the covariates. Traditional approaches, such as the Cox proportional hazards model, focus on estimating the unknown index by assuming a known link function between the log-hazard function and covariates. A linear link function is often e...

This study aims to determine the model of Acute Myocardial Infarction using Weibull Regression and Cox Proportional Hazard methods factors that significantly influence length time for recovery acute myocardial infarction patients. The results this indicate patients are age, onset, number secondary diagnoses duration pain. Based on AIC value, regression is best because value smaller, namely 292....

The software reliability model is the stochastic to measure quantitatively. A Hazard-Rate Model well-known one as typical model. We propose Models Considering Fault Severity Levels (CFSL) for Open Source Software (OSS). purpose of this research make considering CFSL adapt baseline hazard function and 2 kinds faults data in Bug Tracking System (BTS), i.e., we use covariate vectors Cox proportion...

A Cox model is a statistical technique for exploring the relationship between the survival of a patient and several explanatory variables. G Survival analysis is concerned with studying the time between entry to a study and a subsequent event (such as death). G A Cox model provides an estimate of the treatment effect on survival after adjustment for other explanatory variables. In addition, it ...