Construct · 1 fields · 1 citations

strong ignorability: a standalone construct

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Statistics

the condition that treatment assignment is independent of potential outcomes given observed covariates, with every unit having a chance of either treatment.

In statistics, strong ignorability refers to the condition that treatment assignment is independent of potential outcomes given observed covariates, with every unit having a chance of either treatment. This meaning comes from Rosenbaum (1983) in Biometrika.[1]

Unit
Recovery means
Measured by

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Nearby constructs

matching4 fields · 4 citationsjingle · one word, four constructs propensity score1 fields · 3 citationsanchor · a standalone construct score2 fields · 3 citationsjingle · one word, two constructs

References

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41

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