Leping YIn and Wei Zheng : Investigation on voice handicap index

Posted by , part of the Statistics and Data Science Seminar.

At

Oct. 10, 2007, 3:30 p.m.

In

SEO 712

Abstract

The client's objective is to find important factors causing the patients' voice handicap and to investigate the influence of those factors. There are several potential factors of interest: Diagnosis (kind of disease), Gender, Ethnicity, voice therapy (whether the patient complies with doctors ~ R order or not), Age, and Singer or not. All the explanatory factors are categorical variables. We run PROC GLM in SAS and fit an ANOVA model with interactions between the factors. The following factors are found significant in the data analysis: Diagnosis, Singer, Therapy, Gender, and Gender*Diagnosis.