Estimating controlled direct effects in the presence of intermediate confounding of the mediator-outcome relationship: Comparison of five different methods.

@article{Lepage2016EstimatingCD,
  title={Estimating controlled direct effects in the presence of intermediate confounding of the mediator-outcome relationship: Comparison of five different methods.},
  author={Beno{\^i}t Lepage and Dominique Dedieu and Nicolas Savy and Thierry Lang},
  journal={Statistical methods in medical research},
  year={2016},
  volume={25 2},
  pages={
          553-70
        }
}
In mediation analysis between an exposure X and an outcome Y, estimation of the direct effect of X on Y by usual regression after adjustment for the mediator M may be biased if Z is a confounder between M and Y, and is also affected by X Alternative methods have been described to avoid such a bias: inverse probability of treatment weighting with and without… CONTINUE READING