Incomplete data: what you don't know might hurt you
- PMID: 21750173
- PMCID: PMC3153574
- DOI: 10.1158/1055-9965.EPI-11-0505
Incomplete data: what you don't know might hurt you
Abstract
Molecular epidemiology studies commonly exhibit missing observations. Methods for extracting correct and efficient analyses from incomplete data are well known in statistics, but relatively few such methods have diffused into applications. I review some areas of incomplete data research that are relevant to molecular epidemiology and appeal for greater efforts by statisticians to translate their methods into practice.
©2011 AACR.
Comment on
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The handling of missing data in molecular epidemiology studies.Cancer Epidemiol Biomarkers Prev. 2011 Aug;20(8):1571-9. doi: 10.1158/1055-9965.EPI-10-1311. Epub 2011 Jul 12. Cancer Epidemiol Biomarkers Prev. 2011. PMID: 21750174 Free PMC article. Review.
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- Little RJA, Rubin DB. Statistical Analysis with Missing Data. 2nd. New York: John Wiley & Sons; 2002.
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- Heitjan DF, Little RJA. Multiple imputation for the Fatal Accident Reporting System. Applied Statistics. 1991;40:13–29.
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