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Mixed Effects Models for Complex Data 1st edition
Lang Wu
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Mixed Effects Models for Complex Data 1st edition
Lang Wu
Reviews incomplete data problems in mixed-effects models for longitudinal studies and discusses various approaches, including some commonly used simple methods, EM algorithms, and multiple imputation methods. This work also covers other models for longitudinal data, such as marginal models with missing values.
431 pages, 22 black & white illustrations, 19 black & white tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | November 11, 2009 |
| ISBN13 | 9781420074024 |
| Publishers | Taylor & Francis Ltd |
| Pages | 440 |
| Dimensions | 165 × 244 × 18 mm · 746 g |
| Language | English |
| Series Editor | Fan, Jianqing |
| Series Editor | Isham, Valerie |
| Series Editor | Keiding, Niels |
| Series Editor | Louis, Thomas A. |
| Series Editor | Murphy, Susan.A |
| Series Editor | Smith, Richard L. |
| Series Editor | Tong, Howell |
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