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Inferring causal effects of a treatment, intervention or policy from observational data is central to many applications.
Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
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Inverse probability weighting with missing predictors of treatment assignment or missingness
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Kingma, D. P. and Welling, M · 2014
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Measurement bias and effect restoration in causal inference
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Causal inference with confounders missing not at random
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