Using inverse probability weighting (Propensity score analysis) in logistf()

[zeynepbaskurt]

Hi,

Thank you for this great package!

This is actually a question rather than a issue. Can we incorporate inverse propensity weighting into logistf() function the way we do in the regular glm() function;
e.g. model <- logistf(outcome ~ predictor, data, weights = IPW) ?

Would it serve its purpose in logistf() as in logistf() function. That is, can using weights=IPW control the confounding
factors due to unbalanced assignment of variables in groups?

Thanks!
Zeynep