274926 Understanding and Eliminating Health Disparities Using a Small Sample Size

Monday, October 29, 2012 : 3:10 PM - 3:30 PM

Sonja Hutchins, MD, MPH, DrPH , Office of Minority Health and Health Equity, Centers for Disease Control and Prevention, US Public Health Service, Atlanta, GA
     
The burden of and risk factors for health disparities and effective interventions and programs to eliminate health disparities can be elucidated further through uncommonly used epidemiological and statistical methods. This presentation will discuss when a small sample size provides the same certainty and reliability of estimates as a large sample size. It will also discuss statistical methods and tools best suited to analyze small samples.

Learning Objectives:
1. Define the need of local public health agencies and community-based organizations for guidance in using a small sample size to assess and impact health disparities. 2. Describe the situation-specific certainty and reliability of a small sample size. 3. Explain methods and tools for analyzing small samples.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: As a Medical Epidemiologist at the CDC (a federal agency) during outbreaks I conducted and interpreted results of special studies with a small sample size. In addition, I designed a study of computerized simulations to understand better the uncertainly of an estimate from a small sample compared with the uncertainty from a larger sample, which is the topic of this presentation.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

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