Incomplete data: what you don't know might hurt you.

نویسنده

  • Daniel F Heitjan
چکیده

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.

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عنوان ژورنال:
  • Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

دوره 20 8  شماره 

صفحات  -

تاریخ انتشار 2011