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Title page for ETD etd-07302007-124427


Type of Document Master's Thesis
Author Wang, Hailun
Author's Email Address hwang25@student.gsu.edu
URN etd-07302007-124427
Title SOME CONCLUSIONS OF STATISTICAL ANALYSIS OF THE SPECTROPSCOPIC EVALUATION OF CERVICAL CANCER
Degree Master of Science
Department Mathematics and Statistics
Advisory Committee
Advisor Name Title
Yu-sheng Hsu Committee Chair
Mark Faupel Committee Member
Xu Zhang Committee Member
Keywords
  • AUC
  • Sensitivity
  • Partial Least Square Regression
  • Logistic Regression
  • Cervical cancer
  • Threshold
  • Specificity
Date of Defense 2007-07-06
Availability unrestricted
Abstract
To significantly improve the early detection of cervical precancers and cancers, LightTouch™ is under development by SpectRx Inc.. LightTouch™ identifies cancers and precancers quickly by using a spectrometer to analyze light reflected from the

cervix. Data from the spectrometer is then used to create an image of the cervix that highlights the location and severity of disease.

Our research is conducted to find the appropriate models that can be used to generate map-like image showing disease tissue from normal and further diagnose the cervical cancerous conditions. Through large work of explanatory variable search and reduction, logistic regression and Partial Least Square Regression successfully applied to our modeling process. These models were validated by 60/40 cross validation and 10 folder cross validation. Further examination of model performance, such as AUC, sensitivity and specificity, threshold had been conducted.

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