Maximum likelihood analysis in logistic regression with missing covariate data and auxiliary information: Application to factors associated with selection of the delivery method in pregnant women
Background and Objectives: Missing data exist in many studies, e.g. in regression models, and they decrease the model's efficacy. Many methods have been suggested for handling incomplete data: they have generally focused on missing outcome values. But covariate values can also be missing.Materi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Tehran University of Medical Sciences
2005-12-01
|
| Series: | مجله اپیدمیولوژی ایران |
| Subjects: | |
| Online Access: | http://irje.tums.ac.ir/browse.php?a_code=A-10-25-206&slc_lang=en&sid=1 |