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Activity Number:
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46
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #307798 |
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Title:
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Integrating Qualitative and Quantitative Information in Clinical Epidemiologic Research with Older Populations
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Author(s):
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Peter H. Van Ness*+
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Companies:
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Yale University
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Address:
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Program on Aging, School of Medicine, New Haven, CT, 06510,
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Keywords:
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gerontologic biostatistics ; qualitative information ; scale construction ; calibration ; elicited priors ; Bayesian methods
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Abstract:
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Qualitative studies figure prominently in clinical aging research because the experience of aging has ineluctably subjective aspects and because illness in the context of imminent death raises important legal, ethical, and spiritual issues. Yet the predominant inferential methodology of biomedical research among aging and older populations is quantitative. Thus, integrating qualitative and quantitative information is an important challenge for gerontologic biostatisticians. Three integration strategies are reviewed: 1) Qualitative information from open-ended questioning is used to identify pertinent categories for scale construction; 2) Qualitative questions are included in a quantitative study as a means for qualitative calibration of regression models; and 3) Quantitative information reflecting "expert opinion" is used as elicited priors in Bayesian analyses.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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