Analysis of Genetic Association Studies [electronic resource] /by Gang Zheng, Yaning Yang, Xiaofeng Zhu, Robert C. Elston.
by Zheng, Gang [author.]; Yang, Yaning [author.]; Zhu, Xiaofeng [author.]; Elston, Robert C [author.]; SpringerLink (Online service).
Material type:
BookSeries: Statistics for Biology and Health: Publisher: Boston, MA : Springer US, 2012.Description: XXII, 414 p. online resource.ISBN: 9781461422457.Subject(s): Statistics | Statistics | Statistics for Life Sciences, Medicine, Health Sciences | Statistics, generalDDC classification: 519.5 Online resources: Click here to access online
In:
Springer eBooksSummary: Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA276-280 (Browse shelf) | Available |
Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.
There are no comments for this item.