CausalDeepCENT implements a deep neural network to estimate causal individual event times for time-to-event data, equivalently to estimate the causal time-to-event distribution with or without right censoring, accounting for the potential latent structure among the input variables.
Please refer to our paper for more details:
Download a local copy of CausalDeepCENT and install from the directory:
git clone https://github.com/yicjia/CausalDeepCENT.git
cd CausalDeepCENT
pip install .
torch, lifelines, sklearn and all of their respective dependencies.
Here is a tutorial on Google Colab:
