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

pre-print

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

Maya B. Mathur (Stanford University) , Louisa H. Smith (Harvard TH Chan School of Public Health) , Kazuki Yoshida (Brigham and Women’s Hospital and Harvard Medical School) , Peng Ding (University of California, Berkeley) , Tyler J. VanderWeele (Harvard TH Chan School of Public Health)
2021-04-01

Pre-print

Citation

For attribution, please cite this work as

Mathur, et al. (2021, April 1). Louisa H. Smith: E-values for effect modification and conservative approximations for causal interaction. Retrieved from https://www.louisahsmith.com/publications/e-values-for-effect-modification-and-conservative-approximations-for-causal-interaction/.

BibTeX citation

@misc{mathur2021e-values,
  author = {Mathur, Maya B. and Smith, Louisa H. and Yoshida, Kazuki and Ding, Peng and VanderWeele, Tyler J.},
  title = {Louisa H. Smith: E-values for effect modification and conservative approximations for causal interaction},
  url = {https://www.louisahsmith.com/publications/e-values-for-effect-modification-and-conservative-approximations-for-causal-interaction/},
  year = {2021}
}