Currently IPTW uses parametric logit models to estimate the weights. Like TMLE, we should allow users to specify custom models. While bootstrapped variances are invalid (maybe worth generating a warning?), the variance from GEE is valid for IPTW with machine learning models. This would allow semi-parametric weight estimation
Also not too hard to add, since the code to implement already lives within TMLE
Currently
IPTW
uses parametric logit models to estimate the weights. LikeTMLE
, we should allow users to specify custom models. While bootstrapped variances are invalid (maybe worth generating a warning?), the variance from GEE is valid for IPTW with machine learning models. This would allow semi-parametric weight estimationAlso not too hard to add, since the code to implement already lives within
TMLE