On Measurement Bias in Causal Inference

Details On Measurement Bias in Causal Inference On Measurement Bias in Causal Inference

2012-03-15

arxiv.org/abs/1203.3504v1

Statistics

Methodology

Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Scientific paper

This paper addresses the problem of measurement errors in causal inference and highlights several algebraic and graphical methods for eliminating systematic bias induced by such errors. In particulars, the paper discusses the control of partially observable confounders in parametric and non parametric models and the computational problem of obtaining bias-free effect estimates in such models.

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