Grant: Project Grant

Personalized medicine refers to the customization of patients' treatment according to their characteristics, such as their genes, their environment or their lifestyle. Many data analysis methods have been developed to determine how best to personalize treatment decisions according to patients' characteristics in order to optimize a given outcome. Despite these critical developments, some important challenges remain when the outcome of interest is the time until the occurrence of an event, for example the time until death or the time until the recurrence of a cancer. The goal of this project is to develop new data analysis methods for estimating optimal treatment strategies that take into account patients' characteristics to study time-to-event outcomes. While these methods can be applied in various contexts, we consider as a motivating example the development of better recommendations on whether or not and which hormonal therapy to use for breast cancer patients.