A Bayesian pharmacokinetics integrated phase I–II design to optimize dose-schedule regimes for multi-level multi-graded outcomes

Cancer treatment requires a precise understanding of how drugs work at different doses and schedules. This research project aims to develop an advanced method for designing clinical trials for early-stage cancer beyond traditional approaches. The project will create a sophisticated statistical framework that simultaneously evaluates drug toxicity and effectiveness across multiple complexity levels while incorporating detailed information about how drugs interact with the human body. Core Clinical Sciences (CCS) will benefit from this research by gaining a more nuanced approach to determining optimal drug dosing. The new methodology will allow researchers to make more accurate recommendations about drug schedules, potentially reducing side effects and improving treatment efficacy. By developing a more comprehensive analysis technique, this project could help researchers design smarter clinical trials that provide clearer insights into new cancer treatments, ultimately supporting the development of more personalized and effective cancer therapies.

Faculty Supervisor:

Haolun Shi

Student:

Partner:

Core Clinical Sciences

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program: