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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 1.º edición
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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 1 de febrero de 2008 |
| ISBN13 | 9781584886099 |
| Editores | Taylor & Francis Inc |
| Páginas | 324 |
| Dimensiones | 163 × 240 × 23 mm · 598 g |
| Lengua | Inglés |
| Editor de series | Isham, Valerie |
| Editor de series | Keiding, Niels (University of Copenhagen, Denmark) |
| Editor de series | 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) |
| Editor de series | Murphy, Susan.A |
| Editor de series | Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA) |
| Editor de series | Tong, Howell (London School of Economics, UK London School of Economics, UK) |
