Louisa H. Smith: E-values for effect modification and conservative approximations for causal interaction

Maya B. Mathur; Louisa H. Smith; Kazuki Yoshida; Peng Ding; Tyler J. VanderWeele

E-values for effect modification and conservative approximations for causal interaction

We provide sensitivity analyses for unmeasured confounding in estimates of effect heterogeneity and causal interaction.

Citation

For attribution, please cite this work as

Mathur, et al., "E-values for effect modification and conservative approximations for causal interaction". International Journal of Epidemiology, 2022.

BibTeX citation

@article{mathur2022e-values,
  author = {Mathur, Maya B. and Smith, Louisa H. and Yoshida, Kazuki and Ding, Peng and VanderWeele, Tyler J.},
  title = {E-values for effect modification and conservative approximations for causal interaction},
  journal = {International Journal of Epidemiology},
  year = {2022},
  note = {https://doi.org/10.1093/ije/dyac073}
}