STUDY OBJECTIVES Estimation of cancer patient survival by social class has been performed using observed, corrected (cause specific), and relative (with expected survival based on the national population) survival rates. Each of these measures are potentially biased and the optimal method is to calculate relative survival rates using social class specific death rates to estimate expected surviv...

Long-Term Relative Survival in Elderly Patients After Carotid Endarterectomy To the Editor: The study by Norman et al was a retrospective study1 of patients with symptomatic carotid stenoses undergoing carotid endarterectomy over a 10 year period from 1988–1998. Data were collected from multiple centers with multiple operating surgeons using the Western Australia Data Linkage system. The total ...

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...

OBJECTIVES Changes in five-year relative survival ratios for prostate, breast, colorectal and lung cancer cases are examined. Ratios for cases diagnosed in the 1985-1987 period are compared with those for 1992-1994. Incidence and mortality rates between 1985 and 1999 are compared with changes in relative survival. DATA SOURCES Data are from the Canadian Cancer Registry, the National Cancer In...

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

OBJECTIVES We sought to evaluate the effects of a number of factors that can potentially determine the optimal time for aortic valve replacement (AVR) and the observed and relative survival after the operation. BACKGROUND Aortic valve replacement is performed in patients within a wide age span, but the proportion of elderly patients is increasing. In survival analyses, adjustment for the effe...

cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. in recent decades, artificial neural network model has been increasingly applied to predict survival data. this research was conducted to compare cox regression and artificial neural network models in prediction of kidney transplant survival. the prese...