Patients are t alike! This simple truth is often igred in the analysis of me- cal data, since most of the time results are presented for the average patient. As a result, potential variability between patients is igred 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 biostatis- cians should support these efforts. Therefore, one of the tasks of the statistician is to identify heterogeneity of patients and, if possible, to explain part of it with kwn explanatory covariates. Finite mixture models may be used to aid this purpose. This book tries to show that there are a large range of applications. They include the analysis of gene - pression data, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma levels. Other examples include disease clustering, data from psychophysi- ogy, and meta-analysis of published studies. The book is intended as a resource for those interested in applying these methods.
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Date of Publication
Statistics for Biology and Health
Place of Publication
Country of Publication
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
74 black & white illustrations, 37 black & white tables, biography