On Measurement Bias in Causal Inference
نویسنده
چکیده
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 biasfree effect estimates in such models.
منابع مشابه
Measurement Bias and Effect Restoration in Causal In- ference
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