Modelling and simulation of the positive and negative syndrome scale (panss) time course and dropout hazard in placebo arms of schizophrenia clinical trials
Clinical Pharmacokinetics,

Pilla Reddy V et al. – This modelling approach was shown to adequately simulate the longitudinal PANSS data and the dropout trends after placebo treatment. Data analyses suggest that the Weibull and indirect response models are more robust than other placebo models to describe the nonlinear trends in the PANSS score. The developed placebo models, accounting for dropouts and predictors of the placebo effect, could be a useful tool in the evaluation of new trial designs and for better quantification of antipsychotic drug effects.

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