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A comparison of different methods to handle missing data in the context of propensity score analysis
Propensity score analysis is a popular method to control for confounding in observational studies. A challenge in propensity methods is missing values in confounders. Several strategies for handling missing values exist, but guidance in choosing the best method is needed. In this simulation study, w...
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| Gepubliceerd in: | Eur J Epidemiol |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer Netherlands
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6325992/ https://ncbi.nlm.nih.gov/pubmed/30341708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10654-018-0447-z |
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