Statistical Modeling on Lung Cancer
Principal Investigator
Name
Thang Nguyen
Degrees
Ph.D.
Institution
University of South Florida
Position Title
Research Assistant
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1434
Initial CDAS Request Approval
Jan 4, 2024
Title
Statistical Modeling on Lung Cancer
Summary
We aim to apply advanced statistical methodologies to discern the prominent factors and their interactions influencing lung cancer. Our objective includes constructing a statistical model for lung cancer tumor size, emphasizing key risk factors and their interactions. Subsequently, we will prioritize these factors and interactions based on their impact on lung cancer tumor size. Additionally, we plan to conduct both parametric and non-parametric analyses of the survival time for lung cancer, considering variables such as ethnicity, gender, and cancer stage. This analysis will yield survival functions, providing valuable insights into the dynamics of lung cancer survival across different demographic and clinical categories.
Aims
1. Employing advanced statistical methods, we aim to pinpoint individual risk factors and their interactions for constructing a comprehensive statistical model of lung cancer tumor size.
2. Following identification, we will rank the risk factors and interaction terms based on their respective contributions to lung cancer.
Collaborators
Dr. Chris P. Tsokos (Distinguished University Professor of University of South Florida), ctsokos@usf.edu