Multiple Imputation of Missing Data in Practice
portes grátis
Multiple Imputation of Missing Data in Practice
Basic Theory and Analysis Strategies
Hsu, Chiu-Hsieh; Zhang, Guangyu; He, Yulei
Taylor & Francis Inc
11/2021
476
Dura
Inglês
9781498722063
15 a 20 dias
1070
Descrição não disponível.
1. Introduction. 2. Statistical Background. 3. Multiple Imputation Analysis: Basics. 4. Multiple Imputation for Univariate Missing Data: Parametric Methods. 5. Multiple Imputation for Univariate Missing Data: Robust Methods. 6. Multiple Imputation for Multivariate Missing Data: the Joint Modeling Approach. 7. Multiple Imputation for Multivariate Missing Data: the Fully Conditional Specification Approach. 8. Multiple Imputation in Survival Data Analysis. 9. Multiple Imputation for Longitudinal Data. 10. Multiple Imputation Analysis for Complex Survey Data. 11. Multiple Imputation for Data Subject to Measurement Error. 12. Multiple Imputation Diagnostics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Multiple Imputation;Fully Conditional Specification Approach;Missing Data;Survival Data Analysis;Model Imputation;Complex Survey Data;Multiple Imputation Analysis;Longitudinal Data;Complete Data Model;Multivariate missing data;Multiply Imputed Data;Univariate missing data;Imputed Values;Imputation Algorithm;Posterior Predictive Distribution;Missingness Mechanism;Posterior Distribution;DA Algorithm;Normal Linear Regression Model;MAR Assumption;Missing Values;Imputation Methods;SAS Proc Mi;Scatter Plots;Propensity Score;Missing Data Problems;Multivariate Linear Mixed Model;Aft Model;Imputation Strategy;NHANES Iii;Pattern Mixture Model
1. Introduction. 2. Statistical Background. 3. Multiple Imputation Analysis: Basics. 4. Multiple Imputation for Univariate Missing Data: Parametric Methods. 5. Multiple Imputation for Univariate Missing Data: Robust Methods. 6. Multiple Imputation for Multivariate Missing Data: the Joint Modeling Approach. 7. Multiple Imputation for Multivariate Missing Data: the Fully Conditional Specification Approach. 8. Multiple Imputation in Survival Data Analysis. 9. Multiple Imputation for Longitudinal Data. 10. Multiple Imputation Analysis for Complex Survey Data. 11. Multiple Imputation for Data Subject to Measurement Error. 12. Multiple Imputation Diagnostics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Multiple Imputation;Fully Conditional Specification Approach;Missing Data;Survival Data Analysis;Model Imputation;Complex Survey Data;Multiple Imputation Analysis;Longitudinal Data;Complete Data Model;Multivariate missing data;Multiply Imputed Data;Univariate missing data;Imputed Values;Imputation Algorithm;Posterior Predictive Distribution;Missingness Mechanism;Posterior Distribution;DA Algorithm;Normal Linear Regression Model;MAR Assumption;Missing Values;Imputation Methods;SAS Proc Mi;Scatter Plots;Propensity Score;Missing Data Problems;Multivariate Linear Mixed Model;Aft Model;Imputation Strategy;NHANES Iii;Pattern Mixture Model
