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Editorial
. 2022 Jul;19(7):1099-1101.
doi: 10.1513/AnnalsATS.202203-259ED.

Knowledge from the Noise: A Regression Discontinuity Design to Inform Optimal Transfusion Thresholds for Critically Ill Patients

Stephanie P Taylor  1 , Andrew J Admon  2   3
Affiliations
Editorial

Knowledge from the Noise: A Regression Discontinuity Design to Inform Optimal Transfusion Thresholds for Critically Ill Patients

Stephanie P Taylor et al. Ann Am Thorac Soc. 2022 Jul.
No abstract available

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Figures

Figure 1.
Figure 1.
Causal graphs representing regression discontinuity design. (A) Data generating graph showing hemoglobin threshold of 7 g/dl as the assignment variable resulting in transfusion. (B) Data limited graph in which hemoglobin values are restricted to a narrow range around 7 g/dl. The central assumption of regression discontinuity designs is that severity of illness (and other confounders) are no longer related to hemoglobin levels in such a narrow band, so there is no confounding.
None
See this image and copyright information in PMC

Comment on

References

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