Som B Bohora
The University of Oklahoma Health Sciences Center
USA
Title: Generalization of the semi-parametric AUC regression model with discrete covariates
Biography
Biography: Som B Bohora
Abstract
In this research, we considered data with a non-normally distributed response variable. In particular, we extended an existing AUC model that handles only two discrete covariates to a generalized AUC model that can be used on data with any number of discrete covariates. Comparing with other similar methods which requires iterative algorithms and bootstrap procedure, our method involved only closed-form formulae for parameter estimation, hypothesis testing, and confidence intervals. The issue of model identifiability was also discussed. Our model has broad applicability in clinical trials due to the ease of interpretation on model parameters and its utility was illustrated using data from a clinical trial study aimed at evaluating education materials for prevention of Fetal Alcohol Spectrum Disorders (FASDs). Finally, for a variety of design scenarios, our method produced parameters with small biases and confidence intervals with nominal coverages as demonstrated by simulations.