Addressing Extreme Propensity Scores via the Overlap Weights

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 them from the weighted analysis). However, such methods are...

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Vydané v:	American journal of epidemiology Ročník 188; číslo 1; s. 250
Hlavní autori:	Li, Fan, Thomas, Laine E
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.01.2019
Predmet:	Bias Causality Epidemiologic Methods Humans Models, Statistical Propensity Score
ISSN:	1476-6256, 1476-6256
On-line prístup:	Zistit podrobnosti o prístupe
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