ABSTRACT
Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and t
TABLE OF CONTENTS
part 1|2 pages
Part 1 Preliminaries
part 2|2 pages
Part 2 Likelihood and Bayesian Methods
part 3|2 pages
Semi-Parametric Methods
part 4|2 pages
Part 4 Multiple Imputation
part 5|2 pages
Part 5 Sensitivity Analysis
part 6|2 pages
Part 6 Special Topics