Matching Complex Patients to Treatments: Innovative Statistical Scoring Methods for Treatment Selection [Methods Study], 2015-2020

Patients may respond differently to the same treatment due to differences in personal traits such as age, gender, or the number and type of health problems they have. Researchers use statistical methods to predict how well a treatment may work for patients based on their personal traits. But current methods may not work well if patients have many health problems or are taking other medicines.
In this project, the research team created new methods to figure out which patient traits are related to treatment benefits to help doctors and patients understand the likely treatment benefits for individual patients.
To access the methods, software, and R package, please visit the personalized
CRAN webpage and personalized GitHub