Addressing Extreme Propensity Scores via the Overlap Weights
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DOI: 10.1093/aje/kwy201
Abstract: The popular inverse probability weighting method in causal inference is often hampered by extreme propensity scores, resulting in biased estimates and excessive variance. A common remedy is to trim patients with extreme scores (i.e., remove… read more here.
Keywords: addressing extreme; extreme propensity; scores via; overlap weights ... See more keywords