The different methods produced similar logistic regression coefficients. The Cstatistics for the logistic regressions were 0.825, 0.819, 0.815 and 0.802 for the MICE, transcan, norm and data enhancement methods respectively. Decreases in deviance from the null model were 469.4 (MICE), 432.0 (transcan), 412.3 (enhanced data) and 412.2 (norm). When the logistic regression models were applied to 1996 data, the C-statistics were 0.806, 0.803, 0.803, and 0.800 for the MICE, transcan, enhanced data, and norm models respectively. Decreases in deviance from the null model were 236. 0, 229.5, 226.5, and 225 .5 for the MICE, transcan, norm, and enhanced data models. CONCLUSION: The performance of the data enhancement and multiple imputation strategies, although not identical, was generally similar. Multiple imputation methods require considerable statistical expertise, while data enhancement requires availability of data resources.