基本説明
Introduces fundamental statistical concepts for the analysis of data rising from genetic association studies.
Full Description
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.
Contents
Genetic Association Studies.- Elementary Statistical Principles.- Genetic Data Concepts and Tests.- Multiple Comparison Procedures.- Methods for Unobservable Phase.- Classifcation and Regression Trees.- Additional Topics in High-Dimensional Data Analysis.