DOI: 10.1136/bmj.f6409

¤ OpenAccess: Bronze

This work has “Bronze” OA status. This means it is free to read on the publisher landing page, but without any identifiable license.

Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research

Nick Freemantle,Louise Marston,Kate Walters,John Wood,Matthew R. Reynolds,Irene Petersen

Propensity score matching

Observational study

Confounding

2013

Propensity score based methods are used increasingly to evaluate the effectiveness of treatments when evidence from randomised trials is not available. However, users need to be aware of their strengths and limitations

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“Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research” is a paper by Nick Freemantle Louise Marston Kate Walters John Wood Matthew R. Reynolds Irene Petersen published in 2013. It has an Open Access status of “bronze”. You can read and download a PDF Full Text of this paper here.