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Search results with tag "Inference for causal"
Basic Concepts of Statistical Inference for Causal Effects ...
www.stat.columbia.eduIII. Causal inference based on predictive distributions of potential outcomes 12. Predictive inference – intuition under ignorability 13. Matching to impute missing potential outcomes – donor pools 14. Fitting distinct predictive models within each treatment group 15. Formal predictive inference – Bayesian 16.
Why Propensity Scores Should Not Be Used for Matching
gking.harvard.edupreprocessing data for causal inference, often accomplishes the opposite of its in-tended goal — thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximate a completely random-ized experiment, rather than, as with other matching methods, a more efficient fully