Statistical Models In Epidemiology
Download and Read Statistical Models In Epidemiology full books in PDF, ePUB, and Kindle. Read online free Statistical Models In Epidemiology ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Statistical Models in Epidemiology
| Author | : David Clayton |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 376 |
| Release | : 2013-01-17 |
| Genre | : Mathematics |
| ISBN | : 0199671184 |
Download Statistical Models in Epidemiology Book in PDF, Epub and Kindle
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics.
Statistical Models in Epidemiology Related Books
Language: en
Pages: 376
Pages: 376
Type: BOOK - Published: 2013-01-17 - Publisher: Oxford University Press, USA
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended fo
Language: en
Pages: 367
Pages: 367
Type: BOOK - Published: 2001 - Publisher:
This book aims to give a self-contained account of the statistical basis of epidemiology. The book is intended primarily for students enrolled for a masters deg
Language: en
Pages: 376
Pages: 376
Type: BOOK - Published: 2003-08-26 - Publisher: CRC Press
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although
Language: en
Pages: 287
Pages: 287
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
This IMA Volume in Mathematics and its Applications STATISTICAL MODELS IN EPIDEMIOLOGY, THE ENVIRONMENT,AND CLINICAL TRIALS is a combined proceedings on "Design
Language: en
Pages: 276
Pages: 276
Type: BOOK - Published: 2017-02-28 - Publisher: John Wiley & Sons
A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for
