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Outcome modelling strategies in epidemiology: traditional methods and basic alternatives
Controlling for too many potential confounders can lead to or aggravate problems of data sparsity or multicollinearity, particularly when the number of covariates is large in relation to the study size. As a result, methods to reduce the number of modelled covariates are often deployed. We review se...
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| 出版年: | Int J Epidemiol |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4864881/ https://ncbi.nlm.nih.gov/pubmed/27097747 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyw040 |
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