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Statistical Analysis With Missing Data

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Title: Statistical Analysis With Missing Data
by Roderick J. A. Little, Donald B. Rubin
ISBN: 0-471-18386-5
Publisher: Wiley-Interscience
Pub. Date: 23 August, 2002
Format: Hardcover
Volumes: 1
List Price(USD): $99.95
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Average Customer Rating: 5 (2 reviews)

Customer Reviews

Rating: 5
Summary: the bible on missing data
Comment: Don Rubin developed much of the current theory on missing data. He and Rod Little have written eloquently on an important and difficult topic. This is the best available reference on missing data. Multiple imputation has been a highly successful technique. It was developed by Rubin and it gets good coverage here. If you are particularly interested in multiple imputation Rubin has another text devoted solely to it. The only drawback to the text is that standard software to handle the new methods was not available in 1987. So there is no coverage of software packages. However, Rubin has worked with Statistical Solutions to get imputation and particularly multiple imputation techniques into a software package called Solas. With Rubin's books and the Solas manual you will be ready to do imputation and more importantly you will understand the modeling assumptions that the methods hinge on.

Rating: 5
Summary: Classic Text on Missing Data
Comment: This is the standard reference for statistics of missing data. Anyone working in the field will find it indispensable. The new edition is updated to cover a number of recent developments in the field.

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