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This methodological article highlights the limitations of routine data-simplification strategies and presents a model better suited for handling the complexities of clinical symptom data.
Mechanistic models that synthesize pharmacological and (patho)physiological process information provide a rich basis for the characterization of drug action. However, the underlying clinical data are often simplified in a manner that does not allow models to fully elucidate the structure of the drug effect. In this article, we describe data-simplification strategies that are in routine use to describe disease symptoms and compare them with a model developed for handling the true complexities of the data. Clinical Pharmacology & Therapeutics (2010) 88 2, 255–259. doi: 10.1038/clpt.2010.118
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Plan et al. (2010) studied this question.
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