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Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis - Chapman & Hall / CRC Monographs on Statistics and Applied Probability Michael J. Daniels 1st edition
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Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis - Chapman & Hall / CRC Monographs on Statistics and Applied Probability
Michael J. Daniels
Offers a unified Bayesian approach to handle missing data in longitudinal studies. This book contains examples and case studies on aging and HIV. It describes assumptions that include MAR and ignorability, demonstrate the importance of covariance modeling with incomplete data, and cover mixture and selection models for nonignorable missingness.
328 pages, 21 black & white illustrations, 43 black & white tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | February 1, 2008 |
| ISBN13 | 9781584886099 |
| Publishers | Taylor & Francis Inc |
| Pages | 324 |
| Dimensions | 163 × 240 × 23 mm · 598 g |
| Language | English |
| Series Editor | Isham, Valerie |
| Series Editor | Keiding, Niels (University of Copenhagen, Denmark) |
| Series Editor | Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA) |
| Series Editor | Murphy, Susan.A |
| Series Editor | Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA) |
| Series Editor | Tong, Howell (London School of Economics, UK London School of Economics, UK) |
