Should variables used in PROC PSMATCH (or PROC LOGISTIC prior to PSMATCH) be re-used in the outcome analysis?
For example, if we match on gender, should we use gender in the outcome analysis? Here are the imagined steps:
1. Calculate the propensity score with gender as a variable (e.g., treated = gender) in PROC LOGISTIC or PSMATCH
2. Match on gender with PSMATCH
3. Run the outcome analysis with PROC UNIVARIATE using gender in the model
See this for example:
https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_psmatch_examples05.htm&docsetVersion=14.3&locale=en
Why should gender be in the final analysis? Just to check that it's balanced and has no effect? Couldn't it be just left out if the standardized differences are low (e.g., less than 0.10)?
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