Ontology highlight
ABSTRACT:
SUBMITTER: Han G
PROVIDER: S-EPMC6093291 | biostudies-literature | 2017 Jun
REPOSITORIES: biostudies-literature
Han Gang G Schell Michael J MJ Zhang Heping H Zelterman Daniel D Pusztai Lajos L Adelson Kerin K Hatzis Christos C
Biometrics 20160926 2
Personalized cancer therapy requires clinical trials with smaller sample sizes compared to trials involving unselected populations that have not been divided into biomarker subgroups. The use of exponential survival modeling for survival endpoints has the potential of gaining 35% efficiency or saving 28% required sample size (Miller, 1983), making personalized therapy trials more feasible. However, the use of exponential survival has not been fully accepted in cancer research practice due to unc ...[more]