Synergy Analysis in Radiobiology using Incremental Effect Additivity
The current theory we are interested that is applicable in radiobiology uses a mathematically lacking model for specifically modelling dose and effect relationship. This lacking model is especially inappropriate for settings where the dose effect relations are highly curvilinear, which will seriously hinder many researchers from developing synergy theory, a concept of interest to many radiobiologists. We propose a better and more appropriate model to do synergy theory and modelling.
My SURF research, which will build from the research I have already been doing with my mentor, will continue to explore deeper into the statistical validity and robustness of our proposal through various techniques. To get a little bit more specific, some of the things that will be validated is appropriateness of fit and parsimony of our variables through methods such as cross validation and building alternative models.
Message to Sponsor
- Major: Applied Mathematics and Statistics
- Sponsor: Anselm M&PS
- Mentor: Rainer K. Sachs