Dear Impute Listers, I am currently doing an analysis with multiply imputed missing values using a hotdeck approach. We are using Rubin and Schenker's (1986) approximate Bayesian bootstrap to do the multiple imputations. In this approach, the data are divided into strata in which patients in the same strata are similar with respect to the likely value of some covariate of interest. Imputed values of this covariate are then drawn from the real values of this covariate for patients in the same strata as that of the case to be imputed.
I have not been able to find any guidance in the literature as to how large the strata should be. Larger strata will produce a better distribution for the draws, while smaller strata will produce a group of patients who are more similar to the patient of interest. Do you have any recommendation as to how large the strata should be? With many thanks for any advice you can give me. Bill William D. Dupont phone: 615-322-2001 URL http://www.mc.vanderbilt.edu/prevmed/facstaff/dupont.htm _______________________________________________ Impute mailing list [EMAIL PROTECTED] http://lists.utsouthwestern.edu/mailman/listinfo/impute
