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Statistical Models in Epidemiology

David Clayton, Michael Hills




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 | #1728364 in Books |  1993-08-05 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  6.38 x1.08 x9.50l,1.53 | File type: PDF | 376 pages

||0 of 0 people found the following review helpful.| Excellent Text on Foundations|By Soluman B Culver|This is an excellent textbook which provides foundational principles for much of the mathematics of epidemiology. The book is fundamentally one about understanding concepts, rather than practical applications. Beginning with the concept of likelihood models, the authors explain parameter estimation, survival analysis, and regre| |'Unlike many textbooks in epidemiology, there is no long wordy preamble. The characteristic style is set straight away. The book is also highly successful in presenting a unified approach. What is also striking, is that the authors have managed to say somethin

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 simple and intuitively satisfying. More complex problems can be tackled by natural extensions of the simple methods. This exploration of the statistical basis o...

You easily download any file type for your device.Statistical Models in Epidemiology   |  David Clayton, Michael Hills. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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