3160.0 Innovations in Biostatistical Methods and Applications

Monday, October 27, 2008: 10:30 AM
Oral
This session presents new and applications of statistical methods in the areas of measuring health disparities, using GIS to map information across state borders, using classification/regression trees in assessing behavioral interventions among high risk pregnant minority women, and using logistic regression to identify factors associated with practice effects of repeated measures.
Session Objectives: 1. Analyze data using a variety of statistical techniques. 2. Identify factors related to poor health outcomes. 3. Identify new statistica methodologies.
Moderator:
Louie Albert Woolbright, PhD

10:30 AM
Approaches to measuring health disparities that are unaffected by the prevalence of an outcome
James P. Scanlan, JD
     
10:45 AM
Take down those fences: Dissolving borders in the heartland using GIS
Desiree Goetze, MPH, CHES, CPP and Barbara J. Seitz de Martinez, PhD,MLS,CPP
     
11:00 AM
Utility of Classification and Regression Trees (CART) analysis in assessing the impact of a behavioral/psychosocial intervention on resolving multiple risks among high risk pregnant minority women
M. Nabil El-Khorazaty, PhD, Michele Kiely, DrPH and Ayman El-Mohandes, MD, MBBCh, MPH
     
11:15 AM
Application of Classification and Regression Trees (CART) methodology to evaluate a behavioral intervention impacting poor pregnancy outcomes among minority women: A randomized clinical trial
M. Nabil El-Khorazaty, PhD, Ayman El-Mohandes, MD, MBBCh, MPH and Michele Kiely, DrPH
     
11:30 AM
USING Logistic Regression to Identify Factors Associated with Practice Effect of Repeated Mis Scores in Preadvise
Marta S. Mendiondo, PhD, Richard J. Kryscio, PhD, Erin L. Abner, MA, MPH, William Markesbery, MD and Frederick Schmitt, PhD
     

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

Organized by: Statistics

See more of: Statistics
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