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GMDS 2014: 59. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

07. - 10.09.2014, Göttingen

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The application of non-mixture cure fraction models in population-based studies

Meeting Abstract

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  • R. Westerman - Philipps-Universität Marburg, Marburg

GMDS 2014. 59. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Göttingen, 07.-10.09.2014. Düsseldorf: German Medical Science GMS Publishing House; 2014. DocAbstr. 261

doi: 10.3205/14gmds154, urn:nbn:de:0183-14gmds1549

Veröffentlicht: 4. September 2014

© 2014 Westerman.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.

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Text

Non-mixture cure models (NMCMs) are sophisticated in taking account for the time period after the treatment (probably sucessfully) for cancer. In that certain situation these models consider the exact time period from the end of treatment to the time of first recurrence of cancer under the condition of a proportion of those treated are completely cured. Also in many situations the overall survival is a good indicator for the sucess in treatment.

Estimations for the overall survival can be realized with a two stage NMCM, as a combination of two cure models with the first section from the end of the treatment to the first recurrence and second section from the first recurrence to death. Combing these two components is still a challenging problem. These could be minimized by applying specific link function to account for the overall survival. For short follow-up times the model fitting should be still treated with caution. Applying directly the overall survival the two-stage model provide more stable estimates in comparison to the one-stage model.

Gliederung

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