Covariate selection for multilevel models with missing data

Mathematics

• Multilevel Models 94%
• Missing Data 71%
• Covariates 58%
• Variable Selection 47%
• Multiplication 28%
• Predictors 21%
• Missing Covariates 15%
• Mixed Effects 15%
• Multi-class 14%
• Multiple Imputation 14%
• Lasso 13%
• Random Effects Model 13%
• Selection Procedures 12%
• Business 12%
• Deletion 11%
• Cancer 11%
• Linear Regression Model 11%
• Regularization 9%
• Regression Model 9%
• Regression 8%
• Methodology 8%
• Simulation 7%
• Performance 6%

Business & Economics

• Variable Selection 100%
• Missing Data 89%
• Covariates 69%
• Predictors 29%
• Multiple Imputation 21%
• Multiple Risks 19%
• Intervention Program 19%
• Regularization 17%
• Random Effects Model 16%
• Cancer 16%
• Linear Regression Model 15%
• Working Class 12%
• Targeting 12%
• Regression Model 11%
• Simulation 9%
• Methodology 6%
• Performance 5%