Lataa...
Analysis of Incomplete Longitudinal Binary Data-A Combined Markov’s Transition and Logistic Model for Non-ignorable Missingness
The problem of incomplete data is a common phenomenon in research that involves the longitudinal design approach. We investigate and develop a likelihood-based approach for incomplete longitudinal binary data using the disposition model when the missing value mechanism is non-ignorable. We combined...
Tallennettuna:
| Julkaisussa: | Appl Appl Math |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2016
|
| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5515546/ https://ncbi.nlm.nih.gov/pubmed/28729894 |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|