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Analysis of Correlated Data with SAS and R (eBook, ePUB) - Shoukri, Mohamed M.
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Presenting in depth discussions of various statistical models and methods needed for the analysis of medical, biological and biostatistics data, this book emphasizes the analysis of data when normal distribution assumptions are not tenable. It provides detailed explanations in situations when data are naturally clustered in groups, whereby the Intra-class Correlation Coefficient plays a fundamental role in the model development. This new edition incorporates several additions that take into account recent developments in the field.

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Produktbeschreibung
Presenting in depth discussions of various statistical models and methods needed for the analysis of medical, biological and biostatistics data, this book emphasizes the analysis of data when normal distribution assumptions are not tenable. It provides detailed explanations in situations when data are naturally clustered in groups, whereby the Intra-class Correlation Coefficient plays a fundamental role in the model development. This new edition incorporates several additions that take into account recent developments in the field.

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Autorenporträt
Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri's research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.