Medical Applications of Finite Mixture Models (Statistics by Peter Schlattmann

By Peter Schlattmann

sufferers aren't alike! this straightforward fact is usually overlooked within the research of me- cal info, on account that as a rule effects are provided for the “average” sufferer. for this reason, power variability among sufferers is missed whilst proposing, e.g., the result of a a number of linear regression version. In drugs there are an increasing number of makes an attempt to individualize treatment; therefore, from the author’s perspective biostatis- cians should still help those efforts. as a result, one of many projects of the statistician is to spot heterogeneity of sufferers and, if attainable, to provide an explanation for a part of it with recognized explanatory covariates. Finite mix types can be used to assist this objective. This e-book attempts to teach that there are a wide range of purposes. They comprise the research of gene - pression facts, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma degrees. different examples comprise disorder clustering, facts from psychophysi- ogy, and meta-analysis of released experiences. The ebook is meant as a source for these drawn to making use of those methods.

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