David, You might want to supplement John Graham paper with the following:
Harel, O. (2007), "Inferences on missing information under multiple imputation and two-stage multiple imputation." Statistical Methodology, 4, 75-89. DOI: 10.1016/j.stamet.2006.03.002. All the best, Ofer ====================================================================== Ofer Harel, Ph.D. Department of Statistics University of Connecticut 215 Glenbrook Road Unit 4120 Storrs, CT 06269-4120 Phone: (860) 486-6989 Fax: (860) 486-4113 Email: [EMAIL PROTECTED] Web: http://www.stat.uconn.edu/~oharel ====================================================================== _____ From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Craig Enders Sent: Thursday, November 15, 2007 12:54 PM To: David Judkins; IMPUTE post Subject: RE: [Impute] Best reference for choice of m in multiple imputation David, John Graham has a nice study that just came out recently: Graham, J.W., Olchowski, A.E., & Gilbreath, T.D. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8, 206-213. Best, Craig Enders From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of David Judkins Sent: Thursday, November 15, 2007 10:25 AM To: IMPUTE post Subject: [Impute] Best reference for choice of m in multiple imputation Any opinions out there about the most current paper or book with the best advice on choosing the number of multiple imputations? David Judkins Senior Statistician Westat 1650 Research Boulevard Rockville, MD 20850 (301) 315-5970 [EMAIL PROTECTED]
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