conclusions by controlling the modifiable risk factors and modality of treatment in our study, physicians can reach more effective treatment. results at the end of the study, long-term graft failure was seen in 27 (10.2%) cases. one-year and 2-year graft survival after diagnosis of cancer were 93.6% and 91.7%, respectively. the univariate analysis showed that the incidence of chronic graft loss...

The aim of this research was conducted to determine the factors that influence resilience car loan debtors in an area. method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting customer profile (demography) and historical payment 25 observed variables. model study a proportional hazard model. Based description it shows there risk defaulting who have been past due comp...

OBJECTIVE To examine the effect of proton pump inhibitors on adverse cardiovascular events in aspirin treated patients with first time myocardial infarction. DESIGN Retrospective nationwide propensity score matched study based on administrative data. Setting All hospitals in Denmark. PARTICIPANTS All aspirin treated patients surviving 30 days after a first myocardial infarction from 1997 to...

It is assumed for the Cox’s proportional hazards model that the survival times of subjects are independent. This assumption might be violated in some situations, in which the collected data are correlated. The well-known Cox model is not valid in this situation because independence assumption among individuals is violated. For this purpose Cox’s proportional hazard model is extent to the analys...

The semi-parametric Cox proportional hazards (PH) regression model was developed by Sir David Cox (Cox 1972) and is by far the most popular model for survival analysis. The model defines a hazard function, which is the rate of an event occurring at any given time, given the observation is still at risk, as a function of the observed covariates. When data consist of independent and identically d...

Survival analysis is widely used in mechanical research, engineering and many other fields. This paper introduces the properties and modeling methods for survival data, then fits a Cox Proportional Hazards Model for stock data in the Shanghai Security Market. Introduction By September 17th, the Shanghai stock exchange’s benchmark index had plunged 64% since the start of the year, reaching a 52-...

INTRODUCTION The Irish ALS register is a valuable resource for examining survival factors in Irish ALS patients. Cox regression has become the default tool for survival analysis, but recently new classes of flexible parametric survival analysis tools known as Royston-Parmar models have become available. METHODS We employed Cox proportional hazards and Royston-Parmar flexible parametric modeli...