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Modelling the recovery from depressive illness by an exponential model with mixed effects.

Friede, T. and Kieser, M. and Miller, F. (2000) Modelling the recovery from depressive illness by an exponential model with mixed effects. Methods of Information in Medicine, 39 (1). pp. 12-15.

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Abstract

In clinical trials of antidepressant treatments, a depression rating score is usually measured at several points of time for each patient. We propose an approach to fit data from this type of clinical trial using an exponential mixed-effects model. Compared to previous proposals, this approach has the advantage that individual recovery curves are fitted rather than curves of means. Furthermore, no artificial fixing of model parameters is needed as in other approaches. The flexibility of the proposed model is shown for various situations. The approach is illustrated by an example from a placebo- controlled study for the treatment of depression with St. John’s Wort (Hypericum perforatum).

Item Type: Article
Journal or Publication Title: Methods of Information in Medicine
Uncontrolled Keywords: Nonlinear Regression ; Mixed-Effects Model ; Depression ; Hamilton Rating Scale for Depression
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 19341
Deposited By: ep_ss_importer
Deposited On: 20 Nov 2008 16:15
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:28
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/19341

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