Online Program

Advanced Issues in Health Policy Study Design and Analysis

Monday, November 2, 2015: 2:30 p.m. - 4:00 p.m.
This session considers both the design and the analysis of complicated public health data, including logistic regression analysis, panel data analysis, and electronic record retrieval.
Session Objectives: Discuss current issues in both the design and analysis of public health data. Design appropriate studies for public health outcomes.
Kendria Irby, MSPH Student

More Efficient Logistic Analysis Using Moving Extreme Ranked Set Sampling: Application to Children obesity   
Hani Samawi, PhD, Haresh Rochani, DrPH, MPH , M.B.B.S., Daniel Linder, PhD, JingJing Yin, PhD, Lili Yu, Ph.D, Arpita Chatterjee, Ph.D and Robert Vogel, Professor

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

Organized by: Applied Public Health Statistics
Endorsed by: Injury Control and Emergency Health Services, Public Health Education and Health Promotion, APHA-Committee on Women's Rights

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH) , Masters Certified Health Education Specialist (MCHES)