TY - JOUR

T1 - Modelling the recovery from depressive illness by an exponential model with mixed effects.

AU - Friede, T.

AU - Kieser, M.

AU - Miller, F.

PY - 2000

Y1 - 2000

N2 - 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).

AB - 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).

KW - Nonlinear Regression

KW - Mixed-Effects Model

KW - Depression

KW - Hamilton Rating Scale for Depression

M3 - Journal article

VL - 39

SP - 12

EP - 15

JO - Methods of Information in Medicine

JF - Methods of Information in Medicine

IS - 1

ER -