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3301.0: Monday, November 8, 2004: 2:30 PM-4:00 PM | |||
Oral | |||
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| The purpose of this session is to demonstrate new biostatistical and statistical techniques used in epidemiological, environmental health, health services and behavioral and social health science research. The relationship between the theoretical foundations of biostatistical methods and their recent applications are highlighted in this session. The session especially welcomes students who are working on graduate research. | |||
| Learning Objectives: At the end of this session, the participant should be able to: 1. Have an appreciation for the role of latent growth modeling in health care research 2. Understand the use of splines in linear regression 3. Describe the usefulness of a proportional odds ratio model for meta-analysis 4. Describe the role of goodness-of-fit statistics in the generalized linear mixed model 5. Gain familiarity with the complex, multilevel ESSENCE biosurveillance system 6. Describe the application of race-bridging models using the Census Quality Survey | |||
| Howard S. Burkom, PhD | |||
| Beyond rate of outcome change in latent growth modeling Jichuan Wang, PhD, Harvey Siegal, PhD, Russel Falck, MA, Robert G. Carlson, PhD | |||
| An Evaluation of Splines in Linear Regression Deborah Hurley, MSPH, James R Hussey, PhD, Robert McKeown, PhD, Cheryl Addy, PhD | |||
| Proportional odds ratio model generalizes head-to-head comparison of diagnostic tests in meta-analysis Mir Said Siadaty, MS MD, Jianfen Shu, MS | |||
| A review of goodness-of-fit statistics in the generalized linear mixed model Jean Orelien, MStat | |||
| Statistical and Epidemiological Management of Complex, Multilevel ESSENCE Biosurveillance Systems Howard S. Burkom, PhD, Eugene Elbert, MS, Andrew Feldman, PhD, Jeffrey Lin, MS, Sean Patrick Murphy, MS | |||
| Replicating the NCHS Race-bridging Models Using the Census Quality Survey Deborah D. Ingram, PhD | |||
| See individual abstracts for presenting author's disclosure statement and author's information. | |||
| Organized by: | Statistics | ||
| Endorsed by: | Epidemiology; Maternal and Child Health | ||
| CE Credits: | CME, Health Education (CHES), Nursing | ||