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Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose characteristics differ from those of the target popul...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7176094/ https://ncbi.nlm.nih.gov/pubmed/32320429 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0231500 |
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