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＜電子ブック＞
From Basic Survival Analytic Theory to a Non-Standard Application / by Georg Zimmermann
(BestMasters. ISSN:26253615)

版	1st ed. 2017.
出版者	(Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum)
出版年	2017
大きさ	IX, 100 p. 9 illus : online resource
著者標目	*Zimmermann, Georg author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Biomathematics FREE:Probability Theory FREE:Mathematical and Computational Biology
一般注記	Regression Models for Survival Data -- Model Checking Procedures -- Life Expectancy Georg Zimmermann provides a mathematically rigorous treatment of basic survival analytic methods. His emphasis is also placed on various questions and problems, especially with regard to life expectancy calculations arising from a particular real-life dataset on patients with epilepsy. The author shows both the step-by-step analyses of that dataset and the theory the analyses are based on. He demonstrates that one may face serious and sometimes unexpected problems, even when conducting very basic analyses. Moreover, the reader learns that a practically relevant research question may look rather simple at first sight. Nevertheless, compared to standard textbooks, a more detailed account of the theory underlying life expectancy calculations is needed in order to provide a mathematically rigorous framework. Contents Regression Models for Survival Data Model Checking Procedures Life Expectancy Target Groups Researchers, lecturers, and students in the fields of mathematics and statistics Academics and experts working in the life sciences, especially in the medical field The Author Georg Zimmermann is a PhD student at the University of Salzburg and research associate at Christian-Doppler-Klinik, Salzburg HTTP:URL=https://doi.org/10.1007/978-3-658-17719-5

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