## Lecture: Mediation Analysis
## Assigned Reading- Mediation analysis allowing for exposure-mediator interactions Read►
- Mediation analysis through stable weights Read►
- Practical guide to mediation analysis through inverse odds ratio Read► Slides►
- Mediation analysis revisited Read►
## AssignmentA. In the following data, estimate the direct and indirect impact of treatment on outcome. Data► R code► - Verify that treatment and mediator are related
- Verify that mediator and outcome are related
- Estimate the direct and indirect effects using regressions
- Draw a network showing the direct and indirect effects.
B. For this assignment you can use any statistical software you are familiar with or use R. The objective is to find a set of 3 variables, in which one variable is mediating the effect of the other. Use data from STAR*D experiment conducted by NIMH. - Read about the study protocol. Protocol►
- Download data. Use instructor's last name as password. Must enter password twice. Data 2010► Data 2003►
- Select a variable in which the effect of the variable on success of citalopram disappears when an intermediary variable is introduced.
- Use regression analysis to demonstrate that the coefficient for the variable is not significant when an intermediary variable is introduced.
- Check assumptions of independence.
- Draw a network showing the relationships you have found.
- Describe findings.
## MoreFor additional information (not part of the required reading), please see the following links: - Pearl's direct and indirect effects Read► Web Appendix►
- Saeed's lecture Video►
This page is part of the course on Comparative Effectiveness by Farrokh Alemi, PhD Home► Email► |