SAS® Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design.

ABSTRACT: Mediation analysis is a statistical technique for investigating the extent to which a mediating variable transmits the relation of an independent variable to a dependent variable. Because it is useful in many fields, there have been rapid developments in statistical mediation methods. The most cutting-edge statistical mediation analysis focuses on the causal interpretation of mediated effect estimates. Cause-and-effect inferences are particularly challenging in mediation analysis because of the difficulty of randomizing subjects to levels of the mediator (MacKinnon, 2008). The focus of this paper is how incorporating longitudinal measures of the mediating and outcome variables aides in the causal interpretation of mediated effects. This paper provides useful SAS® tools for designing adequa

SUBMITTER: Valente MJ 

PROVIDER: S-EPMC6133302 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature