Date of Award


Document Type

Open Access Thesis

Degree Name

Master of Public Health (MPH)


School of Public Health

First Advisor

Theodore Holford


Lung cancer is one of the most fatal diseases in the world, so it is important to understand the pattern of lung cancer trends at population level. The age-period-cohort model (APC model) is used in this article to analyze the effects of age, year at diagnosis and year at birth on lung cancer in the U.S. The results suggest the age, period and cohort curvature effects are all significant on the lung cancer incidence and mortality. By looking at the plot of the age, period and cohort effects, we found historical events of interest like world war, sales strategies by tobacco companies and lung cancer screening technology may drive the period and cohort effects on the lung cancer in the U.S. The methodology used in this paper will be helpful for public health interventions evaluation and predicting the outcomes the future disease fluctuation driven by those interventions.


This is an Open Access Thesis.

Open Access

This Article is Open Access