5136.0 Statistical impact on Public Health Policy

Wednesday, November 10, 2010: 10:30 AM - 12:00 PM
Oral
The purpose of this session is to provide a forum for public health researchers to present results of their investigations in the application of statistical methods to public health policy. The relevance and importance of the session is to educate attendees about the attendant statistical methods applicable to public health policy data: A Methodological Comparison of Estimates of Health Care Use from Several National Data Sources; Evaluating multiple imputation (MI) in the Active Bacterial Core surveillance system; Health policy impact of the Demographic and Health Surveys program; and Conducting propensity score analyses in complex survey data with design weights: Recommendations.
Session Objectives: Describe several statistical models applicable to public health problems Explain how statistical models are applied to public health data Demonstrate the application of several statistical models to public health data
Organizer:
Moderator:

10:30am
Evaluating multiple imputation (MI) in the Active Bacterial Core surveillance system
Melissa M. Lewis, MPH, Tracy A. Pondo, MSPH and Elizabeth Zell, MStat
10:50am
Health policy impact of the Demographic and Health Surveys program
Jacob Adetunji, PhD, Madeleine Short, MPH, Rachel Lucas, PhD, Noah Bartlett, MPH, Lisa Maniscalco, Yoonjoung Choi and Nisha Sarpal, MPH

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

Organized by: Statistics
Endorsed by: Social Work, Women's Caucus

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

See more of: Statistics