Methods for the analysis of binary outcome results in the presence of missing data.

Presents an approach in dealing with the analysis of outcome data when some of the data are missing in treatment research. Review of alternative procedures and their underlying models; Examination of all possible outcomes; Definition of the range of all possible results; Discussion of extensions of more complex designs.