In this Section
5136.0 Statistical impact on Public Health Policy
Wednesday, November 10, 2010: 10:30 AM - 12:00 PM
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
Talar Markossian, PhD
Jangho Yoon, PhD
See individual abstracts for presenting author's disclosure statement and author's information.
Organized by: Statistics
CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH)
See more of: Statistics