Applied statistical genetics with R: for population-based association studies
Foulkes, A.S.
Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. Introduces fundamental statistical concepts for the analysis of data from genetic association studies Considers principles relevant to population-based studies, including methods for handling demographic and clinical characteristics Offers a presentation that appeals to readers with a limited background in statistics Presents practical programming examples that provide readers with the tools for implementing the methods INDICE: Genetic association studies.- Elementary statistical principles.- Genetic data concepts and tests.- Multiple comparison procedures.- Methods forunobservable phase.- Classification and regression trees.- Additional topics in high-dimensional data analysis.
- ISBN: 978-0-387-89553-6
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 270
- Fecha Publicación: 01/06/2009
- Nº Volúmenes: 1
- Idioma: Inglés