With changing the age distribution at the time of cancer diagnosis, the administrative censoring due to study end may be informative. This problem has been mentioned frequently in the relative survival field, and an estimator aiming to correct this problem has been developed. In this paper, we review the existing methods for estimation in relative survival, demonstrate their deficiencies, and p...

AIMS AND BACKGROUND The epidemiology of colorectal cancer in Umbria, Italy, was evaluated, and data were analyzed in the pre-screening period to better understand the etiology of the disease and to develop screening strategies. MATERIALS AND METHODS Incident data were collected by the Umbrian Population Cancer Registry and mortality data by the Nominative Regional Mortality Registry from 1994...

BACKGROUND There have been few reports on long-term survival of gastric cancer patients. This study analyzed the survival data of gastric cancer patients obtained from the population-based Qidong Cancer Registry between 1972 and 2011, providing a basis for evaluation of gastric cancer treatment and prognosis. METHODS The cumulative observed survival rate and relative survival rate of gastric ...

BACKGROUND Relative survival analysis is a subfield of survival analysis where competing risks data are observed, but the causes of death are unknown. A first step in the analysis of such data is usually the estimation of a net survival curve, possibly followed by regression modelling. Recently, a log-rank type test for comparison of net survival curves has been introduced and the goal of this ...

Objective. This paper aims at studying oropharyngeal cancer survival from the Population-Based Cancer Registry of Zaragoza, Spain, for the 1978-2002 period. Methods. The survival rates were calculated by the Kaplan-Meier method, and the automated calculation method of the Catalan Institute of Oncology was utilized to obtain the relative survival. Results. The oropharyngeal cancer survival rate ...

Four approaches to estimating a regression model for relative survival using the method of maximum likelihood are described and compared. The underlying model is an additive hazards model where the total hazard is written as the sum of the known baseline hazard and the excess hazard associated with a diagnosis of cancer. The excess hazards are assumed to be constant within pre-specified bands o...

Relative survival techniques are used to compare the survival experience in a study cohort with the one expected should they follow the background population mortality rates. The techniques are especially useful when the cause-specific death information is not accurate or not available since they provide a measure of excess mortality in a group of patients with a certain disease. There are seve...