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

International Journal of Epidemiology

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

Maya B. Mathur , Louisa H. Smith , Kazuki Yoshida , Peng Ding , Tyler J. VanderWeele
2022-08-01
Online version Pre-print

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}
}