4204.0 Advances in epidemiology methods

Tuesday, November 1, 2011: 12:30 PM
Oral
New epidemiological methods that can improve research outcomes will be discussed including statistical methods and sources of data.
Session Objectives: Discuss the benefits of using administrative medical claims data in zoonotic disease surveillance and geospatial analytics surrounding zoonotic infections Compare the standard errors from classical weighted least squares, generalized estimating equation, and information-weighted least-squares regression for trend analysis of complex surveys Describe the potential barriers to recruitment using RDS among YMSM
Moderator:
Hongjie Liu

Introductory Remarks
12:35 PM
Spatially explicit non-linear models for explaining the occurrence of infectious zoonotic diseases
Stephen Jones, PhD, William Conner, PhD, Soyal Momin, MS, MBA, Inga Himelright, MD, MBA and Sherri Zink, BS
     
12:50 PM
An approach to efficient data mining via database on monitoring data sources: An example in a community health and research setting
Pragati Shrestha, MPH, BS and Cheza Collier Garvin, PhD, MPH, MSW
     
1:05 PM
Barriers to and facilitators of optimal functioning of respondent-driven sampling for recruitment of young men who have sex with men (YMSM) into HIV-related research
Lisa M. Kuhns, PhD, MPH, Amy K. Johnson, MSW, Brian Mustanski, PhD and Robert Garofalo, MD, MPH
     
1:20 PM
Identification of Potentially Avoidable Emergency Department Visits Using Claims Data
Karl Finison, MS and Amy Kinner, MS
     
  
1:35 PM
A Cautionary Note on Standard Errors from Complex Survey Analysis: Classical Weighted Least Squares, Generalized Estimating Equation, or Information-Weighted Least-Squares Regression?
Motao Zhu, MD, MS, PhD, Haitao Chu, MD, PhD and Sander Greenland, Dr PH
     
Discussion

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

Organized by: Epidemiology

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

See more of: Epidemiology
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