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3086.0: Monday, November 8, 2004: 8:30 AM-10:00 AM | |||
Oral | |||
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The purpose of this session is to demonstrate innovative statistical and data analysis methods useful to health services researchers. The role of quantitative methods for conducting community-based and health services research is of primary importance in public health evaluation. Health services research requires substantive evaluation of measures of care, access and health disparities. This session exposes the participant to a number of critical statistical and measurement issues that arise during the course of health services research. | |||
Learning Objectives: At the conclusion of this session, the participant should 1. Recognize statistical and measurement techniques appropriate for community-based research. 2. Give an example of the application of cost-effectiveness in a community-based study. 3. Become acquainted with techniques for identifying vulnerable populations. 4. Describe a scale for urban-rural classification and identify barriers to care indicators for rural populations. 5. Give an example of a missing values imputation algorithm appropriate for survey research. | |||
Deborah D. Ingram, PhD | |||
Statistical lessons from cost-effectiveness analyses of three community mental health evaluations Jeffrey S. Hoch, PhD, Carolyn S. Dewa, MPH, PhD | |||
Identifying vulnerable populations within Primary Care Service Areas: A national study David Bott, PhD, David Goodman, MD, MS, Chiang-hua Chang, MS | |||
An Urban-rural classification scale for U.S. counties based on the 2003 Metropolitan and Micropolitan Areas Deborah D. Ingram, PhD, Sheila Franco | |||
Barriers-to-care indicators for small and rural populations Charles Townsend, MA, David Bott, PhD | |||
Methadone dosage: Imputation of missing data in the Alcohol and Drug Services Study (ADSS) Sameena Salvucci, PhD, Hannah Kyeyune, MS, Sameer DeSale, MA, Lev S. Sverdlov, MD, PhD, Thomas M. Brady, PhD | |||
See individual abstracts for presenting author's disclosure statement and author's information. | |||
Organized by: | Statistics | ||
Endorsed by: | Epidemiology; Maternal and Child Health; Mental Health | ||
CE Credits: | CME, Health Education (CHES), Nursing |