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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.

Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis of reliability and agreement studies. It examines factors affecting the degree of measurement errors in reliability generalization studies and characteristics influencing the process of diagnosing each subject in a reliability study. The book also illustrates the importance of blinding and random selection of subjects.

New to the Second Edition

• New chapter that describes various models for methods comparison...