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Stat Med. 1999 Aug 30;18(16):2123-34.

Analysis of time-dependent covariates in failure time data.

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Department of Biometry and Epidemiology, Ludwig-Maximilians-University, Marchioninistr.15, 81377 M√ľnchen, Germany.


In failure time analyses, time-dependent covariates are only rarely used. In some clinical studies, however, consideration of available covariate information over time could be relevant to understanding complex disease processes. We propose the time-dependent Cox model and the linear model of Aalen as two possible approaches for such time-dependent survival analyses. The approaches are illustrated with the data of the Stanford Heart Transplantation Study and a study of malignant glioma. Differences between these models and the baseline analysis are discussed.

[Indexed for MEDLINE]

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