Honors College Senior Thesis Presentations
Time Series Analysis of Logitudinally Collected Standard Perimetry Data in Glaucoma
Academic Level at Time of Presentation
Senior
Major
Mathematics/Data Science
List all Project Mentors & Advisor(s)
Manoj Pathak, PhD.
Presentation Format
Event
Abstract/Description
Glaucoma is a group of eye diseases in which damage gradually occurs to the optic nerve, which often leads to partial or complete loss of vision. As the second leading cause of blindness, there is no cure for glaucoma. Early detection and the tracking of its progression is key to managing the effects of glaucoma. Ordinary Least Square Regression (OLSR), the most commonly used methodology for tracking glaucoma progression, is inappropriate as the longitudinally collected perimetry data from the glaucoma patients appears to be temporally correlated. Time series models, that account temporal correlation, are better methods to analyze Mean Deviation (MD) series, a global indicator of disease status in glaucoma patients. In this study, we attempt to analyze MD series using an irregular Autoregressive model and compare its predictability with OLSR and a regular Autoregressive model.
Spring Scholars Week 2023 Event
Honors College Senior Thesis Presentations
Time Series Analysis of Logitudinally Collected Standard Perimetry Data in Glaucoma
Glaucoma is a group of eye diseases in which damage gradually occurs to the optic nerve, which often leads to partial or complete loss of vision. As the second leading cause of blindness, there is no cure for glaucoma. Early detection and the tracking of its progression is key to managing the effects of glaucoma. Ordinary Least Square Regression (OLSR), the most commonly used methodology for tracking glaucoma progression, is inappropriate as the longitudinally collected perimetry data from the glaucoma patients appears to be temporally correlated. Time series models, that account temporal correlation, are better methods to analyze Mean Deviation (MD) series, a global indicator of disease status in glaucoma patients. In this study, we attempt to analyze MD series using an irregular Autoregressive model and compare its predictability with OLSR and a regular Autoregressive model.