[Download free ebook] Statistical Models in Epidemiology
☆ David Clayton, Michael Hills ☆
| #775730 in Books | 1993-08-05 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | 6.38 x1.08 x9.50l,1.53 | File Name: 0198522215 | 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 regr||'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 somethi
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 ...
[PDF.sz99] Statistical Models in Epidemiology Rating: 3.65 (559 Votes)
Statistical Models in Epidemiology David Clayton, Michael Hills epub Statistical Models in Epidemiology David Clayton, Michael Hills pdf Statistical Models in Epidemiology David Clayton, Michael Hills audiobook Statistical Models in Epidemiology David Clayton, Michael Hills summary Statistical Models in Epidemiology David Clayton, Michael Hills textbooks Statistical Models in Epidemiology David Clayton, Michael Hills Free
You can specify the type of files you want, for your gadget.Statistical Models in Epidemiology | David Clayton, Michael Hills. A good, fresh read, highly recommended.
