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Book synopsis

This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. It acknowledges the limitations of established techniques and provides concrete applications of newly developed methods. It covers traditional techniques for missing data inference--including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods--and applies the methodology to rapidly developing areas of research. The book is ideal for courses on biostatistics at the upper-undergraduate and graduate levels and for health science researchers and applied statisticians.

Book details

Book category Books in English Medicine Medicine: general issues Medical equipment & techniques

• Full title: Applied Missing Data Analysis in the Health Sciences
• Author: Xaiobo Ding, Danping Lui, Chuan Zhou, Xiao-Hua Zhou
• Language: English
• Binding: Hardback
• Number of pages: 256
• EAN: 9780470523810
• ISBN: 0470523816
• ID: 04884224
• Publisher: John Wiley & Sons Inc
• Weight: 516 g
• Dimensions: 241 × 161 × 20 mm
• Date of publishing: 18. July 2014

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