Φορτώνει......
Appropriate inclusion of interactions was needed to avoid bias in multiple imputation
OBJECTIVE: Missing data are a pervasive problem, often leading to bias in complete records analysis (CRA). Multiple imputation (MI) via chained equations is one solution, but its use in the presence of interactions is not straightforward. STUDY DESIGN AND SETTING: We simulated data with outcome Y de...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Clin Epidemiol |
|---|---|
| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Elsevier
2016
|
| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5176003/ https://ncbi.nlm.nih.gov/pubmed/27445178 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2016.07.004 |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|