Bayesian Precision Medicine presents modern Bayesian statistical models and methodsfor identifying treatments tailored to individual patients using their prognostic variables
and predictive biomarkers. The process of evaluating and comparing treatments is explained
and illustrated by practical examples, followed by a discussion of causal analysis
and its relationship to statistical inference. A wide array of modern Bayesian clinical trial
designs are presented, including applications to many oncology trials. The later chapters
describe Bayesian nonparametric regression analyses of datasets arising from multistage
chemotherapy for acute leukemia, allogeneic stem cell transplantation, and targeted agents
for treating advanced breast cancer.