Statistical Models in Epidemiology - David Clayton, Michael Hills

Statistical Models in Epidemiology

Buch | Softcover
384 Seiten
2013
Oxford University Press (Verlag)
978-0-19-967118-2 (ISBN)
74,80 inkl. MwSt
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.
This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily.

In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.

David Clayton, Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research Michael Hills, London School of Hygiene and Tropical Medicine

I. PROBABILITY MODELS AND LIKELIHOOD; II. REGRESSION MODELS; III. APPENDICES

Erscheint lt. Verlag 17.1.2013
Zusatzinfo 50 b/w line drawings
Verlagsort Oxford
Sprache englisch
Maße 177 x 233 mm
Gewicht 578 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-10 0-19-967118-4 / 0199671184
ISBN-13 978-0-19-967118-2 / 9780199671182
Zustand Neuware
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