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Unobserved confounding is a major hurdle for causal inference from observational data.
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Recovering from selection bias in causal and statistical inference
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Measurement bias and effect restoration in causal inference
Kuroki, M. & Pearl, J. (2014) · 2014
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Nonparametric identification using instrumental variables: sufficient conditions for completeness
Hu, Y. & Shiu, J.-L. (2018) · 2018
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Detecting confounding in multivariate linear models via spectral analysis
Janzing, D. & Schölkopf, B. (2018) · 2018
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Miao, W., Geng, Z., & Tchetgen Tchetgen, E. J. (2018) · 2018
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