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Techniques for Handling Missing Data in Secondary Analyses of Large Surveys
OBJECTIVE: Using an appropriate method to handle cases with missing data when performing secondary analyses of survey data is important to reduce bias and to reach valid conclusions for the target population. Many published secondary analyses using child health data sets do not discuss the technique...
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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2010
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2866831/ https://ncbi.nlm.nih.gov/pubmed/20338836 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acap.2010.01.005 |
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