Lataa...
COVARIATE DECOMPOSITION METHODS FOR LONGITUDINAL MISSING-AT-RANDOM DATA AND PREDICTORS ASSOCIATED WITH SUBJECT-SPECIFIC EFFECTS
Investigators often gather longitudinal data to assess changes in responses over time within subjects and to relate these changes to within-subject changes in predictors. Missing data are common in such studies and predictors can be correlated with subject-specific effects. Maximum likelihood method...
Tallennettuna:
| Julkaisussa: | Aust N Z J Stat |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2014
|
| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4456042/ https://ncbi.nlm.nih.gov/pubmed/26052246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/anzs.12093 |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|