Dear Impute List, A friend asked me for examples of case studies that imputed missing data, and then afterwards collected the data and validated (or invalidated) the imputation model. (He is doing a study of that sort and would like to cite other examples.) This is honest missing data, not simulations in which data were artificially made missing to check model fit.
Any ideas?
Alan Zaslavsky
