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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.

Applied Statistical Genetics with R: For Population-based Association Studies

Genetic association studies.- Elementary statistical principles.- Genetic data concepts and tests.- Multiple comparison procedures.- Methods for unobservable phase.- Classification and regression trees.- Additional topics in high-dimensional data analysis.