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A Relative Survival Model for Clustered Responses

✍ Scribed by Oliver Kuss; Thomas Blankenburg; Johannes Haerting

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
157 KB
Volume
50
Category
Article
ISSN
0323-3847

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✦ Synopsis

Abstract

Relative Survival is the ratio of the overall survival of a group of patients to the expected survival for a demographically similar group. It is commonly used in disease registries to estimate the effect of a particular disease when the true cause of death is not reliably known. Regression models for relative survival have been described and we extend these models to allow for clustered responses by embedding them into the class of Generalized linear mixed models (GLMM). The method is motivated and demonstrated by a data set from the HALLUCA study, an epidemiological study which investigated provision of medical care to lung cancer patients in the region of Halle in the eastern part of Germany. (Β© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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