‘Small Sample Methodology for Health Disparities Research’: Brown Bag Session, Oct. 6
Last Updated ( September 27, 2011 )
Thursday, Oct. 6, 12-1 p.m.
Diplomacy Building (4500 Diplomacy Drive), Room 402A
The UAA Institute for Circumpolar Health Studies (ICHS) invites you to a Brown Bag Session, “Small Sample Methodology for Health Disparities Research.”
Common quantitative approaches to biomedical and psychosocial research depend on collecting and analyzing data from large samples. Achieving large sample sizes when working with culturally distinct communities, including American Indian and Alaska Native populations, can be difficult both for clinical trials and observational research. The Center for Alaska Native Health Research (CANHR) at the University of Alaska Fairbanks, with support from the National Institute on Drug Abuse and the Office of Behavioral and Social Science Research, organized a Small Sample Methodology Conference to address methodological and statistical problems related to small samples typical in multicultural health disparities and rural research. In this Brown Bag Session, Professor Janet Johnston will review the following topics that were discussed at the conference:
- Culturally appropriate methods: Sampling, measurement and other considerations (original presenter: Jan Beals, Ph.D., Centers for American Indian and Alaska Native Health, University of Colorado Denver)
- Dynamic wait-listed and adaptive designs to increase efficiency of randomized trials (original presenter: Peter Wyman, Ph.D., Department of Psychiatry, University of Rochester School of Medicine and Dentistry)
- The use of stochastic matching in small samples (original presenter: Lou Fogg, Ph.D., Rush University Medical Center)
- Use of latent variable modeling and integration of data sets to increase power (original presenter: Rick Hoyle, Ph.D., Institute for Health Research and Policy, Duke University)
Prof. Johnston’s attendance at the Small Sample Methodology Conference was supported by ICHS.