3132.0
Innovative Statistical Methods for Public Health Data
Innovative Statistical Methods for Public Health Data
Monday, November 2, 2015: 10:30 a.m. - 12:00 p.m.
Oral
Through this session each author will present a chapter covering current statistical techniques for modern data issues in public health data. Issues include missing data, meta analysis, and analysis of longitudinal data.
Session Objectives: Identify current issues in meta analysis, missing data, and longitudinal data analysis as they apply to public health data.
Explain proposed statistical solutions to current data issues in public health data analysis.
Organizers:
Din Chen, Professor
and
Jeffrey Wilson, MS; PhD
Moderators:
Jeffrey Wilson, MS; PhD
and
Xinguang Chen, MD, PhD
10:30am
10:50am
11:10am
11:30am
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, APHA-Committee on Women's Rights
CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH)
See more of: Applied Public Health Statistics