A Poisson regression model with interaction terms was applied to study the dose response relationship for radium-induced skeletal cancers. The model showed that the expected frequency count of bone tumors depended not only on the logarithmic dose and the time since first exposure, but also on the interaction between the logarithmic dose and the time since first exposure, whereas the dose-response model for head tumors depended only on the logarithmic dose.
"A Poisson Regression Model for Female Radium Dial Workers,"
Journal of Modern Applied Statistical Methods:
1, Article 20.
Available at: http://digitalcommons.wayne.edu/jmasm/vol11/iss1/20