unsuscribe -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20010910/ef7e5304/attachment.htm From G.Raab <@t> napier.ac.uk Tue Sep 11 07:50:36 2001 From: G.Raab <@t> napier.ac.uk (Raab, Gillian) Date: Sun Jun 26 08:24:58 2005 Subject: IMPUTE: Re: (no subject) - SAS code Message-ID: <[email protected]>
Its all in Shafer's book - or various other places. Just combine the within and between imputation variance with simple formulae. What are you using to do computations? If it is SAS I have a pretty basic macro I have written that produces tables of oods-ratios and 95% confidence intervals from a SAS data set that contains all the imputed data. Most willing top pass on if it would help. I'd also be interested to hearing from anyone else who has been trying out the new SAS imputation procedures. Gillian Raab, Napier University, Edinburgh, Scotland -----Original Message----- From: [email protected] [mailto:[email protected]] Sent: 08 September 2001 10:19 To: [email protected] Subject: IMPUTE: (no subject) Dear all I have a logisitic regression model with continious and categorical variables. I carried out multiple imputation for missing values in most of the variables and redone the logisitic regression. Now I have 5 results my question is how to apply rubin's rules to combine the results, I found out it is straight forward for the odds ratios, the coeffecients and the standard deviations, I am only stuck with the p-values and the 95% confidence intervals. I would like to mention that my data consist of 23000 records so assumption of normality is quite feasiable. Ula Nur
