Applied Bayesian modeling and causal inference from incomplete-data perspectives an essential journey with Donald Rubin's statistical family
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard te...
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| Format: | eBook |
| Language: | English |
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John Wiley & Sons
2004
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| Series: | Wiley series in probability and statistics
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| Collection: | Wiley Online Books - Collection details see MPG.ReNa |
| Summary: | This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data. |
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| Physical Description: | 437 S. |
| ISBN: | 9780470090435 |