Modelling the Natural History of Schizophrenia: Comparison of Naive Versus Advanced Statistical Methods
2013 Value in health
Millier, A. | Lenert, L. | Sadikhov, S. | Moreno, S. | Toumi, M. |
The literature provides little guidance on statistical methods for estimating parameters of Markov models using longitudinal data. We compared the commonly used naïve (based on raw data) and advanced approaches to estimate two model parameters: transition probabilities and hospitalisation rates. Both the naïve and advanced approaches were applied using data from the European Schizophrenia Cohort (EuroSC) to populate a Markov model in schizophrenia.