Parametric fractional imputation for mixed models with nonignorable missing data
Parametric fractional imputation for mixed models with nonignorable missing data
Inference in the presence of non-ignorable missing data is a widely encountered and difficult problem in statistics.Imputation is often used to facilitate parameter estimation, which allows one to use the complete sample estimators on the imputed data set.We develop a parametric fractional imputation (PFI) method proposed by Kim (2011), which …