BACKGROUND Renal function is an important predictor of mortality in patients with myocardial infarction (MI), but changes in the impact over time have not been well described.We examined the importance of renal function by estimated GFR (eGFR) and se-creatinine as an independent long-term prognostic factor. METHODS Prospective follow-up of 6653 consecutive MI patients screened for entry in th...

PURPOSE We reviewed the survival time for patients with primary brain tumors undergoing treatment with stereotactic radiation methods at the Masaryk Memorial Cancer Institute Brno. We also identified risk factors and characteristics, and described their influence on survival time. METHODS In summarizing survival data, there are two functions of principal interest, namely, the survival functio...

Patients with dementia are at increased risk of stroke. Acetylcholinesterase inhibitors (AChEIs) have endothelial function protection effects and anti-inflammatory properties. We investigated the ischemic stroke risk in AChEIs use in dementia patients without stroke history. Using Taiwan National Health Insurance Database from 1999 to 2008, 37,352 dementia patients over 50 years old without str...

The goal of relative survival methodology is to compare the survival experience of a cohort with that of the background population. Most often an additive excess hazard model is employed, which assumes that each person's hazard is a sum of 2 components--the population hazard obtained from life tables and an excess hazard attributable to the specific condition. Usually covariate effects on the e...

The Cox model is the model of choice when analyzing right-censored and possibly left-truncated survival data. The present paper proposes a program to estimate the hazard function in a proportional hazards model and also to treat more complex observation schemes involving general censored and left-truncated data. The hazard function estimator is defined non-parametrically as the function which m...

BACKGROUND AND OBJECTIVE Cox model is a popular model in survival analysis, which assumes linearity of the covariate on the log hazard function, While continuous covariates can affect the hazard through more complicated nonlinear functional forms and therefore, Cox models with continuous covariates are prone to misspecification due to not fitting the correct functional form for continuous covar...

background: the aim of this study was to detect prognostic factors in recurrent breast cancer metastasis. materials and methods: th is retrospective cohort study employed data from 996 breast cancer patients of isfahan seyed-o-shohada research center from 1998 to 2010. stratifi ed cox proportional hazards model, marginal approach, was used to evaluate the prognostic value of estrogen receptor, ...

BACKGROUND Randomized Controlled Trials almost invariably utilize the hazard ratio calculated with a Cox proportional hazard model as a treatment efficacy measure. Despite the widespread adoption of HRs, these provide a limited understanding of the treatment effect and may even provide a biased estimate when the assumption of proportional hazards in the Cox model is not verified by the trial da...