Statistical Models in Epidemiology (Paperback)

David Clayton

ISBN 10: 0199671184 / ISBN 13: 9780199671182

Verlag: Oxford University Press, Oxford, 2013

Beschreibung

Paperback. 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 theauthors 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 ofthe simple methods. 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 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9780199671182

Bibliografische Details

• Titel: Statistical Models in Epidemiology (Paperback)
• Verlag: Oxford University Press, Oxford
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 0199671184
• ISBN-13: 9780199671182
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

David Clayton, Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research

Michael Hills, London School of Hygiene and Tropical Medicine