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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176094/ https://www.ncbi.nlm.nih.gov/pubmed/32320429 http://dx.doi.org/10.1371/journal.pone.0231500 |