3350.0 Statistical Applications of Survey Methods

Monday, November 8, 2010: 2:30 PM - 4:00 PM
Oral
The purpose of this session is to provide a forum for public health researchers to present results of their investigations involving survey methodology. The relevance and importance of the session is to educate attendees about several statistical survey methods applied to a variety of public health settings: Utility of an overlapping panel design in the MEPS to assess the impact of survey redesign modifications on health care estimates; estimating Herpes Simplex Virus Type 1 and Type 2 Seroprevalence in Los Angeles County from 1999-2004; applications of advanced psychometric methods for developing and evaluating cut-point-based indicators in complex public health surveys; and the use of Latent Class Analysis of Stages of Change for Multiple Health Behaviors: Results from the Special Diabetes Program for Indians.
Session Objectives: Describe several statistical survey methods applied to public health problems Explain how statistical survey methods are applied to public health data Demonstrate the application of statistical survey methods to public health to address public health issues
Organizer:
Laura Gunn, PhD
Moderator:
Steven B. Cohen, PhD

2:30pm
Advanced psychometric methods for developing and evaluating cut-point-based indicators in complex public health surveys
Adam C. Carle, MA, PhD
2:50pm
Latent Class Analysis of Stages of Change for Multiple Health Behaviors: Results from the Special Diabetes Program for Indians
Luohua Jiang, PhD, Janette Beals, PhD, Lijing Zhang, Yvette Roubideaux, Md, MPH, Kelly J. Acton, MD, MPH, FACP and Spero M. Manson, PhD
     
3:10pm
Herpes Simplex Virus Type 1 and Type 2 Seroprevalence in Los Angeles County: Findings from the National Health and Nutrition Examination Survey, 1999-2004 (National Center for Health Statistics, Hyattsville, MD 20782)
Veena G. Goud, ScM, Deanna Kruszon-Moran, ScM, Kathryn S. Porter, MD, MS, Geraldine McQuillan, PhD and Robert Kim-Farley, MD, MPH
3:30pm
Utility of an overlapping panel design in the MEPS to assess the impact of survey redesign modifications on health care estimates
Steven B. Cohen, PhD
        

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

Organized by: Statistics
Endorsed by: Epidemiology, Social Work

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

See more of: Statistics
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