Type of Document Master's Thesis Author Shen, Ying URN etd-11282007-104206 Title INDIVIDUAL GROWTH MODELS OF CHANGE IN PEABODY PICTURE VOCABULARY SCORES OF CHILDREN TREATED FOR BRAIN TUMORS Degree Master of Science Department Mathematics and Statistics Advisory Committee
Advisor Name Title Dr. Yu-Sheng Hsu Committee Chair Dr. Tricia King Committee Member Xu Zhang Committee Member Keywords
- Fractional polynomial transformation
- Individual growth model
- Longitudinal data
Date of Defense 2007-10-17 Availability unrestricted Abstract The individual growth model is a relatively new statistical technique. It is now widely used to examine the trajectories of individuals and groups in repeated measures data. This study examines the association of the receptive vocabulary over time and characteristics of children who were treated for brain tumors. The children undertook different types of treatment from one to any combinations of surgery, radiation and chemotherapy. The individual growth model is used to analyze the longitudinal data and to address the issues behind the data. Results of this study present several factors' influences to the rate of change of PPVT scores. The conclusions of this thesis indicate that the decline in the PPVT scores is associated with gender, age at diagnosis, socioeconomic status, type of treatment and Neurological Predictor Scale.Files
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