G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes

Ítems similars

• G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study
  per: Chatton, Arthur, et al.
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• Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates
  per: Burgess, Stephen, et al.
  Publicat: (2018)
• The use of traditional and causal estimators for mediation models with a binary outcome and exposure-mediator interaction
  per: Rijnhart, Judith J.M., et al.
  Publicat: (2020)
• Estimation of causal effects of binary treatments in unconfounded studies
  per: Gutman, Roee, et al.
  Publicat: (2015)
• Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting
  per: Vahé Asvatourian, et al.
  Publicat: (2018-07-01)