Medical Applications of Finite Mixture Models

Medical Applications of Finite Mixture Models-1

Peter Schlattmann

2009

Patients are not alike! This simple truth is often ignored in the analysis of medical data, since most of the time results are presented for the “average” patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author’s point of view biostatisticians should support these efforts.

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