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CAUSALMED Procedure


The CAUSALMED procedure estimates causal mediation effects from observational data. You use the CAUSALMED procedure, rather than the CAUSALTRT procedure, when you need to estimate direct and indirect effects of binary or continuous treatment variables on an outcome variable. The indirect effect refers to the treatment effect that has influence on a mediator variable, which then has a direct effect on the outcome variable. The CAUSALMED procedure generalizes linear models that have binary, negative binomial, Poisson, or normal distributions for the outcome and have binary or normal distributions for the mediator. You can include interaction effects between the treatment and mediator variables and among the covariates.

PROC CAUSALMED allows you to:

The following effects are available:

For further details see the SAS/STAT User's Guide: The CAUSALMED Procedure
( PDF | HTML )

Examples