3066.0 Statistical Aspects of Public Health in the Rural or Underserved

Monday, November 8, 2010: 8:30 AM - 10:00 AM
Oral
The purpose of this session is to provide a forum for public health researchers to present results of their investigations among the rural and underserved involving a variety of statistical methods. The relevance and importance of the session is to educate attendees about statistical methods applied to public health data arising from the rural and underserved: Patterns of Differential Undercount among Farm workers, Indigenous-Origin, and Recent Mexican Immigrants in Census 2010; Pregnancy among women who over-reported condom use as measured by a biomarker for unprotected sex; Predicting first trimester weight using multiple imputation and a random effects model to evaluate gestational weight gain among Latinas; and Fighting Obesity in Mississippi: Using Small Area Estimation Techniques to Identify Targeting Areas.
Session Objectives: Describe several statistical methods applicable to public health problems among the rural and underserved Explain how statistical methods are applied to public health data from the rural and underserved Demonstrate the application of several statistical methods to public health data arising from the rural and underserved
Organizer:
Moderator:

8:30am
Pregnancy among women who over-reported condom use as measured by a biomarker for unprotected sex
Janet E. Rosenbaum, PhD, AM, Ralph DiClemente, PhD, Eve S. Rose, MSPH, Gina M. Wingood, MPH ScD and Jonathan Zenilman, MD
9:30am
Predicting first trimester weight using multiple imputation and a random effects model to evaluate gestational weight gain among Latinas
Diana B. Welmerink, MPH, CPH, Edith Kieffer, MPH, PhD, Kathleen B. Welch, MPH, MS, Brandy Sinco, MS, Erin Clayton, PhD, MPH and Emily Vogtmann, MPH

See individual abstracts for presenting author's disclosure statement and author's information.

Organized by: Statistics
Endorsed by: Community Health Planning and Policy Development, HIV/AIDS, Social Work, Women's Caucus

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH)

See more of: Statistics