Propensity score calibration in the absence of surrogacy.

  title={Propensity score calibration in the absence of surrogacy.},
  author={Mark Lunt and Robert J Glynn and Kenneth J Rothman and Jerry Avorn and Til St{\"u}rmer},
  journal={American journal of epidemiology},
  volume={175 12},
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-sectional validation study that lacks information on the disease outcome (Y), under a strong surrogacy assumption. Using directed acyclic graphs and path analysis, the authors developed a formula to predict the presence and magnitude of the bias of PSC in the simplest setting of a binary exposure (T) and 1 confounder (X) that are observed in the main study and 1 confounder (C) that is observed in… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 6 times over the past 90 days. VIEW TWEETS
6 Citations
28 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 28 references

Correlation and causation

  • S. Wright
  • J Agric Res
  • 1921
Highly Influential
5 Excerpts

Bias analysis

  • S Greenland, TL Lash
  • eds. Modern Epidemiology. 3rd ed. Philadelphia,
  • 2008

Similar Papers

Loading similar papers…