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Comment
. 2020 Sep;31(5):614-619.
doi: 10.1097/EDE.0000000000001231.

Benchmarking Observational Methods by Comparing Randomized Trials and Their Emulations

Issa J Dahabreh  1   2 , James M Robins  2   3 , Miguel A Hernán  2   3   4
Affiliations
Comment

Benchmarking Observational Methods by Comparing Randomized Trials and Their Emulations

Issa J Dahabreh et al. Epidemiology. 2020 Sep.
No abstract available

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References

    1. Hernán MA, Robins JM. Using big data to emulate a target trial when a randomized trial is not available. Am J Epidemiol. 2016;183:758–764.
    1. Lodi S, Phillips A, Lundgren J, et al. Effect estimates in randomized trials and observational studies: Comparing apples with apples. Am J Epidemiol. 2019;188:1569–1577.
    1. Webster-Clark M, Lund JL, Stürmer T, et al. Reweighting oranges to apples: Rransported RE-LY trial vs non-experimental effect estimates of anticoagulation in atrial fibrillation. Epidemiology. 2020;31:605–613.
    1. Robins JM. A new approach to causal inference in mortality studies with a sustained exposure period—Application to control of the healthy worker survivor effect. Math Modell. 1986;7:1393–1512.
    1. Hernán MA, Robins JM. Causal Inference (forthcoming). 2020.Boca Raton, FL: Chapman & Hall/CRC.

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