Statistical Methods for Analyzing Sequentially Randomized Trials
In this issue of JNCI, Thall et al. present the results of a clinical trial that makes use of sequential randomization, a novel trial design that allows the investigator to study adaptive treatment strategies. Our aim is to complement this groundbreaking work by reviewing the current state of the art of statistical methods available for such analyses. Using the data collected by Thall et al. as an example, we focus on two different approaches for estimating the success rates of different adaptive treatment strategies of interest. By emphasizing the intuitive appeal and straightforward implementation of these methods and illustrating the striking findings to which these methods can lead, we hope to convince the reader that this novel trial design provides a rich source of information that is made readily accessible through current analytical approaches.
Oliver Bembom and Mark J. van der Laan. "Statistical Methods for Analyzing Sequentially Randomized Trials" Journal of the National Cancer Institute 99 (2007): 1577-1582.
Available at: http://works.bepress.com/bembom/20