On Mon, 03 Mar 2003 09:05:10 -0500 "Patrick S. Malone" <[EMAIL PROTECTED]> wrote:
> Greetings. > > I'm hoping to get some pointers to useful citations to satisfy an editor's > concerns on our use of multiple imputation (using NORM). Here are the two > issues: > > "However, I could be persuaded by citations (to publications by imputation > experts) or evidence (e.g., from Monte Carlo studies) showing that: (a) it > is acceptable to impute missing data on the outcome variable; (b) 40% falls > within the acceptable range for data imputation." > > I understand that (a) is not only acceptable, but obligatory in a > covariance analysis, because a covariance matrix makes no distinction > between outcomes and anything else. However, this is so fundamental, I'm > not finding explicit statements of it in my sources. For (b), I realize > that it's fraction of missing information that's the issue. We used 10 > imputations, so we should be in good shape for the missingnes we have, but > are there any good simulation studies varying the missing information and > showing satisfactory results? Schafer (97) talks about rates up to 90% > just increasing the number of iterations needed, but there's not much > detail on performance. > > In other words, has anyone written, "Multiple imputation for content > journal editors" yet? > > Thanks, > Pat Malone > > -- > Patrick S. Malone, Ph.D., Research Scholar > Duke University Center for Child and Family Policy > Durham, North Carolina, USA > e-mail: [EMAIL PROTECTED] > http://www.duke.edu/~malone/ > > Pat, I think that you will get responses from the experts that provide definitive references on this. Carl Moons and I are finishing a paper like the one you need, probably for the Journal of Clinical Epidemiology. Carl may be willing to provide you with a preprint to show the editors. I am cc'ing this to him. Frank -- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences U. Virginia School of Medicine http://hesweb1.med.virginia.edu/biostat
