Improving upon the efficiency of complete case analysis when covariates are MNAR
Missing values in covariates of regression models are a pervasive problem in empirical research. Popular approaches for analyzing partially observed datasets include complete case analysis (CCA), multiple imputation (MI), and inverse probability weighting (IPW). In the case of missing covariate valu...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2014
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173105/ |