Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.Suitable for gradua
Introduction. Likelihood-Based Approach. Computation. Imputation. Propensity Scoring Approach. Nonignorable Missing Data. Longitudinal and Clustered Data. Application to Survey Sampling. Statistical Matching. Bibliography. Index.