Stepwise imputation for marginal model based on previous residuals

This zip file contains the following:

1) MIStep_explained02.pdf. An introduction to the theory behind using previous residuals, rather than previous absolute values, to generate marginal reference-based imputations such as Jump to Reference (J2R). This also explains possible uses for the macro and results of the example program below.
2) The SAS code for the macro. The header includes a detailed description.
3) A SAS macro that is used the exaples to run an ANCOVA analysis and summarise across imputed data sets using Rubin’s rules.
4) and mistep_demo7-results.html. Example of using the macro.s on the DIA working group example data set. This includes standard MAR, J2R, CIR, OLCMCF, Casual with K0=0.5 and also with K1=0.5 and separate correlation (shared variance) as examples.
5) and GSKTest5-results.html. Program code and output for the same examples using the GSK 5 macros showing similar values based of 1000 imputations in both cases.

This page was written by James Roger ( ).

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