From Basic Survival Analytic Theory to a Non-Standard Application / BestMasters (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Georg Zimmermann
Georg Zimmermann is a PhD student at the University of Salzburg and research associate at Christian-Doppler-Klinik, Salzburg.
Bibliographische Angaben
- Autor: Georg Zimmermann
- 2017, 1st ed. 2017, 100 Seiten, Englisch
- Verlag: Gabler, Betriebswirt.-Vlg
- ISBN-10: 3658177195
- ISBN-13: 9783658177195
- Erscheinungsdatum: 01.04.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.16 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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