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Bayesian Survival Analysis (Springer Series in Statistics)

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Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Author(s): Joseph G. Ibrahim, Ming-Hui Chen, Debajyoti Sinha
Publisher: Springer
Year: 2010

Language: English
Commentary: +OCR
Pages: 493
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;Анализ выживаемости;