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Posted 02-23-2018 08:40 PM
(3218 views)

Hi,

I am new to PROC MI. I have 500 unique patient data with 30 variables, of which 15 variables have missing values. Using multiple imputations procedure, I was able to impute 15 different variables (some binary, some ordinal and a few nominal); 30 imputations in total. So my final data set contains 15000 observations. Then I created a few summary variables from the "new imputed variables" to be used as covariates in the regression models. Now, I am unable to conduct univariate, bivariate and multivariate analyses using standard SAS procedures and then combining them using PROC MIANALYZE. I want to do something like the following using the multiple imputed data set (30 imputations):

1. I want to have standard table 1 to describe my sample. I want to report: n (%) for categorical variables and mean (SD) for continuous.

2. I want to have standard table 2 to describe my sample by my exposure (2 level) and conduct a Chi-square for categorical variables and t-test for continuous.

3. I want to have standard table 3 which compares adjusted LS Means and SE for my continuous OUTCOME variable across the exposure, adjusting for several covariates.

Could someone please guide me? Thanks.

-Raj

6 REPLIES 6

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Hey,

Did you figured out pooling frequency and means (SD) after imputation?

Brad.

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I think it does not require to send you the codes or dataset. One who has done it write the syntax to ease others using SAS community.

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Hello Brad,

Did you make a find a syntax for pooling imputed datasets?

Did you make a find a syntax for pooling imputed datasets?

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This paper was helpful https://www.lexjansen.com/pharmasug/2013/SP/PharmaSUG-2013-SP03.pdf

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Hello,

Did you finally succeed in pooling your imputed dataset through sas? It seems SPSS has an easy syntax to pool imputed dataset according to Rubin's rule but i can't find any syntax for this in SAS.

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