Statistical Modeling on Thyroid Cancer

Principal Investigator

Name
Iluppangama Iluppangama

Degrees
PhD( Student in Statistics 2024)

Institution
University of South Florida

Position Title
Student( PhD Student)

Email
iai@usf.edu

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-944

Initial CDAS Request Approval
Mar 22, 2022

Title
Statistical Modeling on Thyroid Cancer

Summary
We want to utilize advance statistical methodologies to identify the significant contributing factors and their interactions that contribution to Thyroid cancer.In addition we want to build a statistical model that tumor size of Thyroid cancer data for for significant risk factors with contributing interactions. After that we would rank significant risk factors and interaction according to their contribution to tumor size of the Thyroid cancer. Also we will perform a parametric and non parametric analysis of survival time of thyroid cancer based of their ethnicity, gender and stage of the cancer, obtain survival function.

Aims

1. We will utilize advance statistical methods to identify the individual risk factors and their interactions to build a statistical model of the tumor size.
2 We will rank the risk factors and interaction terms based on the contribution to the Thyroid cancer.

Collaborators

Dr.Chris P. Tsokos(Distinguished University Professor). ctsokos@usf.edu
Dilmi Abeywardana( PhD Student). abeywardana@usf.edu