This volume sets out a new statistical approach to test allelic association and genotype-specific effects in the genetic study of a disease. Primarily based on population-based association studies, the book also evaluates them compared to other methods.
"This book tries to distinguish between the necessary and unnecessary complexity in presenting the material to a statistician or 'a data analyst'. Derivations of methods are kept simple but without losing the mathematical details." "This book also provides some necessary backgro…
Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic tr…
Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic tr…
"This book is truly unique in that it is the first comprehensive book that not only provides an introduction to the foundations of human genetics, but also includes a statistical primer, theoretical models and hands-on computer applications. There are many excellent introductory…
"This book is truly unique in that it is the first comprehensive book that not only provides an introduction to the foundations of human genetics, but also includes a statistical primer, theoretical models and hands-on computer applications. There are many excellent introductory…
This book offers statistical models and methods used to understand human genetics, focusing on modern approaches to association analysis. Numerous examples illustrate key points, and the text includes exercises for students with a broad range of skill levels.
