Classification of therapy resistance based on longitudinal biomarker profiles.

Full Abstract

To classify patients either as resistant or non-resistant to HIV therapy based on longitudinal viral load profiles, we applied longitudinal quadratic discriminant analysis and examined various measures, mainly derived from the Brier Score, to assess the biomarker performance in terms of discrimination and calibration. The analysis of the application data revealed an increase in performance by using longer profiles instead of single biomarker measurements. Simulations showed that the selection of mixed models for the estimation of the group-specific discriminant rule parameters should be based on BIC, rather than on the best performance measure. An incorrect model selection can lead to spuriously better or worse performance as misclassification and classification certainty regards, especially with increasing length of the profiles and for more complex models with random slopes.

Author information

Author/s: Kohlmann, Mareike (M); Held, Leonhard (L); Grunert, Veit Peter (VP);

Affiliation: Institute of Statistics, Ludwig-Maximilians University, 80539 Munich, Germany.

Journal and publication information

Publication Type: Journal Article

Journal: Biometrical journal. Biometrische Zeitschrift (Biom J), published in Germany. (Language: eng)

Reference: 2009-Aug; vol 51 (issue 4) : pp 610-26

Dates: Created 2009/08/24; Completed 2009/11/05;

PMID: 19688757, status: MEDLINE (last retrieved date: 11/5/2009)

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