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
