You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Design and Analysis of Phase I Clinical Trials
Barry E. Storer
Vol. 45, No. 3 (Sep., 1989), pp. 925-937
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2531693
Page Count: 13
You can always find the topics here!Topics: Dosage, Sample size, Dose response relationship, Design analysis, Confidence interval, Design evaluation, Phase I clinical trials, Toxicity, Logistics, Simulations
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
The Phase I clinical trial is a study intended to estimate the so-called maximum tolerable dose (MTD) of a new drug. Although there exists more or less a standard type of design for such trials, its development has been largely ad hoc. As usually implemented, the trial design has no intrinsic property that provides a generally satisfactory basis for estimation of the MTD. In this paper, the standard design and several simple alternatives are compared with regard to the conservativeness of the design and with regard to point and interval estimation of an MTD (33rd percentile) with small sample sizes. Using a Markov chain representation, we found several designs to be nearly as conservative as the standard design in terms of the proportion of patients entered at higher dose levels. In Monte Carlo simulations, two two-stage designs are found to provide reduced bias in maximum likelihood estimation of the MTD in less than ideal dose-response settings. Of the three methods considered for determining confidence intervals-the delta method, a method based on Fieller's theorem, and a likelihood ratio method-none was able to provide both usefully narrow intervals and coverage probabilities close to nominal.
Biometrics © 1989 International Biometric Society