Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
| Other author | Gelman, Andrew Editor |
| Other author | Meng, Xiao-Li Editor |
| Format | Electronic |
| Publication Info | Hoboken : John Wiley & Sons, Incorporated |
| Description | 436 p. 22.900 x 015.200 cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Series | Wiley Series in Probability and Statistics Ser. 674 |
| Summary | Annotation This bookbrings together acollection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics andreal-worldexampleswhich 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.Key features of the book include:Comprehensive coverage of an imporant area for both research and applications.Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques.Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference.Includes a number of applications from the social and health sciences.Edited and authored by highly respected researchers in the area. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9780470090459 |
| ISBN | 0470090456 (Online Resource) Active Record |
| Standard identifier# | 9780470090459 |
| Stock number | 00028608 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |