Dear Paul, Suppose you have 2 imputed datasets called ds1 and ds2. To get Clarify to analyze these datasets, try the following 1. load ds1 or ds2 into memory by typing "use ds1" 2. run a model that clarify supports and specify the mi() option. If ds1 and ds2 are in your working directory, the command might look something like this: "estsimp regress y x1 x2, mi(ds1 ds2)". If the datasets are not in your working directory you will need to specify the full path, e.g. "estsimp regress y x1 x2, mi(c:\mydata\ds1 c:\mydata\ds2)". Clarify will report the parameter estimates and standard errors, based on the imputed datasets. 3. To set the x's (or to get summary statistics for the imputed datasets), use the setx command. Setx will remember the locations of the imputed datasets that you specified at the estsimp stage. For example, "setx mean" would set x1 and x2 to their means, again based on all the imputed datasets. If you want to see actual numerical values of those means, type "setx" by itself (after running "setx mean") and clarify will list out the means for each x. Hope this answers your question. Thanks for your interest in clarify. - Mike Michael Tomz, Assistant Professor Phone: 650-725-4031 Department of Political Science Fax: 650-745-2765 Encina Hall, Stanford University tomz(a)stanford.edu Stanford, CA 94305-6044 ===================== On Wed, 3 Apr 2002, Paul Warwick wrote: Hi Gary, Thanks, but I'm still a little puzzled. I take it that estsimp will calculate the means and SE's without specifying any modelname or any variables. Is this correct? I can't find out for myself because I can't get estsimp to find the imputed files. Without specifying a complete path, I don't know how to get Stata to find them. I've tried everything I can think of, but Stata seems to want something more or different. What's the key? Best wishes, paul clarify mailing list served by Harvard-MIT Data Center List Address: clarify(a)latte.harvard.edu Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/listis.cgi?info=clarify