I|E|L
  • About
    • Lab Director
    • Members & collaborators
    • Vacancies
  • Research Expertise
    • Program Evaluation
    • Optimizing interventions
    • Methodological innovations
    • Advanced data analysis
    • Systematic reviews of evidence
  • Areas
    • Education
    • Health
    • Child and youth
    • Social Policy
    • Workforce Development
  • Evaluation Standards
  • Support Us
featured projects and publıcatıons
Causal Mediation Analysis in the Presence of Post-treatment Confounding Variables

In many disciplines, mediating processes are usually investigated with randomized experiments and linear regression to determine if the treatment affects the outcome through a mediator. However, randomizing the treatment will not yield accurate causal direct and indirect estimates unless certain assumptions are satisfied since the mediator status is not randomized. This study describes methods to estimate causal direct and indirect effects and reports the results of a large Monte Carlo simulation study on the performance of the ordinary regression and modern causal mediation analysis methods, including a previously untested doubly robust sequential g-estimation method, when there are confounders of the mediator-to-outcome relation. Results show that failing to measure and incorporate potential post-treatment confounders in a mediation model leads to biased estimates, regardless of the analysis method used. Results emphasize the importance of measuring potential confounding variables and conducting sensitivity analysis.

​
Reference:

Kisbu-Sakarya, Y., MacKinnon, D. P., Valente, M. J., & Çetinkaya, E. (2020). Causal Mediation Analysis in the Presence of Post-treatment Confounding Variables: A Monte Carlo Simulation Study. Frontiers in Psychology – Quantitative Psychology and Measurement, 1-16.
Link



​


​

ındependent evaluatıon laboratory
Bağımsız Etki DEğerlendirme Laboratuvarı

Koç University, ​Department of Psychology 
Offices: SOS Z13D and SNA142, Rumelifeneri Yolu Cad.
​34450 Sarıyer Istanbul Turkey
E-mail address: iel at ku.edu.tr 
Phone: 00 9 02123381114

Contact us

​© COPYRIGHT 2017. ALL RIGHTS RESERVED.
  • About
    • Lab Director
    • Members & collaborators
    • Vacancies
  • Research Expertise
    • Program Evaluation
    • Optimizing interventions
    • Methodological innovations
    • Advanced data analysis
    • Systematic reviews of evidence
  • Areas
    • Education
    • Health
    • Child and youth
    • Social Policy
    • Workforce Development
  • Evaluation Standards
  • Support Us