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Improving propensity score weighting using machine learning
Machine learning techniques such as classification and regression trees (CART) have been suggested as promising alternatives to logistic regression for the estimation of propensity scores. The authors examined the performance of various CART-based propensity score models using simulated data. Hypoth...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2010
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2807890/ https://ncbi.nlm.nih.gov/pubmed/19960510 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3782 |
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