The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
Propensity scores (PS) are typically estimated using logistic regression (LR). Machine learning techniques such as random forests (RF) have been suggested as promising alternatives for variable selection and PS estimation.
| Main Authors: | , , , |
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| Format: | Conference item |
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Wiley
2017
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