Dear Statalist users,
I was wondering whether you can provide me with some advice or point me in the right direction. I am trying to find methods which can deal with data that is non-randomised and suffers from selection bias. After searching various databases etc I have come up with the following methods:
1) Regression analyses
2) Propensity score - matching, stratification, regression, classification trees
3) Instrumental variables
4) Sample selection models
5) Two-part models
6) Inverse probability weighting
Before I start using these methods in various datasets I was just wondering whether users are aware of any other methods which I have not identified?
Can you recommend any good text books or key people that maybe I should contact?
Kind regards Hema
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