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Variable selection for confounder control, flexible modeling and Collaborative Targeted Minimum Loss-based Estimation in causal inference
This paper investigates the appropriateness of the integration of flexible propensity score modeling (nonparametric or machine learning approaches) in semiparametric models for the estimation of a causal quantity, such as the mean outcome under treatment. We begin with an overview of some of the iss...
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| Gepubliceerd in: | Int J Biostat |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4733443/ https://ncbi.nlm.nih.gov/pubmed/26226129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/ijb-2015-0017 |
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