ABSTRACT
Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science-multiple imputation-fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which a
TABLE OF CONTENTS
part I|2 pages
I Basics
part II|2 pages
II Case studies
part III|2 pages
III Extensions