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Handling Missing Data in Matched Case-Control Studies Using Multiple Imputation
Analysis of matched case-control studies is often complicated by missing data on covariates. Analysis can be restricted to individuals with complete data, but this is inefficient and may be biased. Multiple imputation (MI) is an efficient and flexible alternative. We describe two MI approaches. The...
Sparad:
| I publikationen: | Biometrics |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4847641/ https://ncbi.nlm.nih.gov/pubmed/26237003 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12358 |
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