Use of Covariates in Randomization and Analysis of Clinical Trials

Authored by: Garnet L. Anderson , Michael LeBlanc , P.Y. Liu , John J. Crowley

Handbook of Statistics in Clinical Oncology

Print publication date:  March  2012
Online publication date:  March  2012

Print ISBN: 9781439862001
eBook ISBN: 9781439862018
Adobe ISBN:

10.1201/b11800-17

 Download Chapter

 

Abstract

Randomization provides the basis for determining causality in scientific experiments. While there are settings in medicine and public health where convincing evidence may be obtained from nonrandomized studies, there is a clear shift toward requiring the higher quality evidence obtained from well-designed randomized trials. Rapidly changing diagnostic and disease assessment tools, the use of more subjective endpoints, requirements for diverse patient populations, and modest effect sizes all tend to weaken the inference from uncontrolled experiments. In oncology, where historically a single-arm phase II trial has often been adequately informative, randomized phase II trials are increasingly common.

 Cite
Search for more...
Back to top

Use of cookies on this website

We are using cookies to provide statistics that help us give you the best experience of our site. You can find out more in our Privacy Policy. By continuing to use the site you are agreeing to our use of cookies.