Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting

@article{Asvatourian2018EstimatingCE,
  title={Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting},
  author={Vah{\'e} Asvatourian and Cl{\'e}lia Coutzac and Nathalie Chaput and C. Robert and Stefan Michiels and Emilie Lanoy},
  journal={BMC Medical Research Methodology},
  year={2018},
  volume={18}
}
BackgroundRecently, the intervention calculus when the DAG is absent (IDA) method was developed to estimate lower bounds of causal effects from observational high-dimensional data. Originally it was introduced to assess the effect of baseline biomarkers which do not vary over time. However, in many clinical settings, measurements of biomarkers are repeated at fixed time points during treatment and, therefore, this method needs to be extended. The purpose of this paper is to extend the first… 

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