A collaborative study including Dr. Martin Dunbar, at Georgia Southern University Jiann-Ping Hsu College of Public Health alumni and Research Statistician at Abbott Laboratories, along with Drs. Hani Samawi, Robert Vogel, and Lili Yu, biostatistics professors at the Georgia Southern University College of Public Health, examine the steady-state Gibbs sampler estimation for lung cancer data. Lung cancer has been associated with many deaths and is associated with risk factors such as smoking and a person’s genetic makeup. There have been two specific forms of therapy that have been used to lower mortality rates and increase survival times among patients with lung cancer. The first is radiation therapy (RT) which was implemented as a form of therapy to treat lung cancer and leukemia patients. However, it has been demonstrated that this form of therapy might not be sufficient in eliminating lung cancer among patients with the disease. The second form of therapy, chemotherapy (CT), has been shown to have a greater positive effect in addition to the standard RT in lowering mortality rates and increasing survival times among patients with stage III non-small cell lung cancer (NSCLC).