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Effect of Variable Selection Strategy on the Performance of Prognostic Models When Using Multiple Imputation
BACKGROUND: Variable selection is an important issue when developing prognostic models. Missing data occur frequently in clinical research. Multiple imputation is increasingly used to address the presence of missing data in clinical research. The effect of different variable selection strategies wit...
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| Publicado no: | Circ Cardiovasc Qual Outcomes |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Lippincott Williams & Wilkins
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7665277/ https://ncbi.nlm.nih.gov/pubmed/31718298 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCOUTCOMES.119.005927 |
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