Review: Data-driven methodology for detecting treatment effect heterogeneity
-
Updated
Feb 26, 2021 - R
Review: Data-driven methodology for detecting treatment effect heterogeneity
A biologically motivated mathematical formalism is used to estimate the relative risks of breast, lung and thyroid cancers in childhood cancer survivors due to concurrent therapy regimen. This model specifically includes possible organ-specific interaction between radiotherapy and chemotherapy. The model predicts relative risks for developing se…
Add a description, image, and links to the treatment-interaction topic page so that developers can more easily learn about it.
To associate your repository with the treatment-interaction topic, visit your repo's landing page and select "manage topics."