2013Review of bioinformatics and biometricsRequires access

Estimation of Relative Survival Based on Cancer Registry Data

Olaf Schoffer, Antje Niedostatek, Stefanie J. Klug

Open publisher page 3 citations

Abstract

Relative survival rates are suitable for the comparison of survival information between patient groups with different age structures. They are well established as a common method for analysis of cancer registry data. In the following, the method for the estimation of the relative survival and the central components of the implementation of this method with SAS are presented. Examples of results of the described program are presented and the program is compared with a selection of other technical solutions.

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What this paper is about

Relative survival rates are suitable for the comparison of survival information between patient groups with different age structures. They are well established as a common method for analysis of cancer registry data. In the following, the method for the estimation of the relative survival and the central components of the implementation of this method with SAS are presented. Examples of results of the described program are presented and the program is compared with a selection of other technical solutions.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Relative survival rates are suitable for the comparison of survival information between patient groups with different age structures. They are well established as a common method for analysis of cancer registry data. In the following, the method for the estimation of the relative survival and the central components of the implementation of this method with SAS are presented. Examples of results of the described program are presented and the program is compared with a selection of other technical solutions.

Key concepts: Relative survival, Cancer registry, Estimation, Cancer survival, Survival analysis, Statistics, Computer science, Selection (genetic algorithm)

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