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Re: st: Methods for selection bias


From   "Anders Alexandersson" <andersalex@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Methods for selection bias
Date   Thu, 20 Apr 2006 16:16:56 -0400

Does "non-randomised data" here refer to the sample and/or to the
treatment assignment?

Anders Alexandersson
andersalex@gmail.com

On 4/20/06, Hema Mistry <Hema.Mistry@brunel.ac.uk> wrote:

> 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?

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