Controlling selection bias in causal inference.¶
Bareinboim, E., & Pearl, J. (2012). Controlling selection bias in causal inference. Proceedings of the 15th International Conference on Artificial Intelligence and Statistics, 22.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Selection Bias
- Provides a structural framework — observation mechanism associated with exposure and outcome — that unifies diverse specific biases (survivorship, volunteer, self-selection, attrition, Berkson's, collider, publication) under a single conceptual roof while preserving the distinctive features of each
This sourcePMLR. Bareinboim Pearl causal inference selection bias DAG control.
- Provides a structural framework — observation mechanism associated with exposure and outcome — that unifies diverse specific biases (survivorship, volunteer, self-selection, attrition, Berkson's, collider, publication) under a single conceptual roof while preserving the distinctive features of each
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