Author: David Clayton
Edition: 1
Publisher: Oxford University Press, USA
Binding: Hardcover
ISBN: 0198522215
Statistical Models in Epidemiology
The most important concept in statistics is the probability model. Medical books Statistical Models in Epidemiology. Only by fully understanding this model can one fully understand statistical analysis. Utilizing models in epidemiology, the authors of this self-contained account have chosen to emphasize the role of likelihood. This approach to statistics is both simple and intuitively satisfying. More complex problems can be tackled by natural extensions of the simple methods Medical books Statistical Models in Epidemiology, 9780198522218. Statistical Models in Epidemiology, ISBN-13: 9780198522218, ISBN-10: 0198522215
Download link for Statistical Models in Epidemiology
Statistical Models in Epidemiology, ISBN-13: 9780198522218, ISBN-10: 0198522215
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author david clayton author michael hills format paperback language english publication year 17 01 2013 subject medicine subject 2 medicine general statistical models in epidemiology by david clayton published by not quite what you re looking for see more books in other free uk delivery on everything not even the right subject see books in arts design and entertainment business and commerce computing and it history and topography language and linguistics law and criminology literature and writin
Store Search search Title, ISBN and Author Statistical Models in Epidemiology by David Clayton, Michael Hills Estimated delivery 4-14 business days Format Hardcover Condition Brand New The most important concept in statistics is the probability model. Only by fully understanding this model can one fully understand statistical analysis. Utilizing models in epidemiology, the authors of this self-contained account have chosen to emphasize the role of likelihood. This approach to statistics is both
Medical Book Statistical Models in Epidemiology
Only by fully understanding this model can one fully understand statistical analysis. Utilizing models in epidemiology, the authors of this self-contained account have chosen to emphasize the role of likelihood. This approach to statistics is both simple and intuitively satisfying. More complex problems can be tackled by natural extensions of the simple methods. This exploration of the statistical basis of epidemiology has been written specifically for professionals and graduate students in epidemiology, clinical epidemiology, or biostatistics. The simple prerequisite--basic training in biology--assumes no previous knowledge and the mathematics is deliberately kept at a manageable level. Based on a highly successful course by two internationally known authors, this book explains the essentials of statistics for all epidemiologists.
