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3237.0: Monday, November 8, 2004: 12:30 PM-2:00 PM | |||
Oral | |||
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| The purpose of this session is to showcase biostatistical applications and methodologies critical to conducting high quality evaluation and analyses for public health research and practice. Areas which will be explored include analytical techniques for syndromic suveillance, health disparities research, Bayesian methods, dynamic models and risk adjustment. Improvements in the delivery and technology of health care relies on the ability to adequately measure, analyze and evaluate the effectiveness of public health programs and medical treatments. This session will outline specific approaches to analysis and measurement that utilize state of the art biostatistical methods. | |||
| Learning Objectives: At the end of this session the participant should be able to : 1. Understand analytical methods for syndromic surveillance 2. Describe parametric and non-linear dynamical systems models 3. Evaluate the usefulness of Bayesian methods in public health and medical research 4. Outline an application of generalized linear model to risk adjustment problems | |||
| Frank J. Potter, PhD | |||
Bivariate methodology in spatio-temporal syndromic surveillance ![[ Recorded presentation ]](/static/img/filetypes/16x16/wrf.gif){kind=small} Al Ozonoff, PhD, Marco Bonetti, PhD, Laura Forsberg, Marcello Pagano, PhD | |||
| Behavioral research: A time for paradigm shift, from parametric to non-linear dynamical systems models Avinash Patwardhan, MD, MS | |||
| Bayesian approach in estimating the seatbelt usage Fu-Chih Cheng, PhD, Stacey Knight, MStat, Larry J. Cook, MStat | |||
| Time series analysis of the District of Columbia’s syndromic surveillance Michael A. Stoto, PhD, Arvind Jain, MS, John O. Davies-Cole, PhD, MPH, Aaron Adade, PhD, Samuel C Washington, MPH, Gebreyesus Kidane, PhD | |||
| Disparities in Medicaid use between American Indian and Whites: An application of generalized linear model and risk adjustment in health disparity study Chi Kao, PhD, Carol C. Korenbrot, PhD, Sabrina T. Wong, RN, PhD, James Crouch, MPH | |||
| Dirichlet Multinomial Model for Autonomy for Physician Assistant Eugene Schneller, PhD, Jeffrey Wilson, PhD | |||
| See individual abstracts for presenting author's disclosure statement and author's information. | |||
| Organized by: | Statistics | ||
| Endorsed by: | Epidemiology; Health Administration; Injury Control and Emergency Health Services; Maternal and Child Health | ||
| CE Credits: | CME, Health Education (CHES), Nursing | ||