Session: METHODS FOR ADDRESSING ISSUES OF BIAS IN MEASUREMENT AND ANALYSIS IN PREVENTION RESEARCH (Society for Prevention Research 24th Annual Meeting)

Schedule:

Wednesday, June 1, 2016: 1:15 PM-2:45 PM

Pacific M (Hyatt Regency San Francisco)

Theme: Innovative Methods and Statistics

Moderator:

Elizabeth Marie Ginexi

* noted as presenting author

176

Propensity Score Analysis with a Latent or Mis-Measured Covariate: Using Factor Scores from Inclusive Factor or Structural Equation Models to Reduce Bias
Trang Quynh Nguyen, PhD, Johns Hopkins Bloomberg School of Public Health; Hwanhee Hong, PhD, Johns Hopkins Bloomberg School of Public Health; Elizabeth A. Stuart, PhD, John Hopkins Bloomberg School of Public Health

177

Reducing Bias and Increasing Precision in the Measurement of Health Disparities
Nisha C. Gottfredson, PhD, University of North Carolina at Chapel Hill

178

1-to-n Propensity Matching Methods
Ji Hoon Ryoo, PhD, University of Virginia; Kathan Dushyant Shukla, PhD, University of Virginia; Elise T. Pas, PhD, The Johns Hopkins University; Catherine Bradshaw, PhD, University of Virginia

See more of: Individual Paper Presentations

Session: METHODS FOR ADDRESSING ISSUES OF BIAS IN MEASUREMENT AND ANALYSIS IN PREVENTION RESEARCH (Society for Prevention Research 24th Annual Meeting)

2-043 METHODS FOR ADDRESSING ISSUES OF BIAS IN MEASUREMENT AND ANALYSIS IN PREVENTION RESEARCH