Novel designs for multi‐arm clinical trials with survival outcomes with an application in ovarian cancer
- 25 June 2003
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 22 (14) , 2239-2256
- https://doi.org/10.1002/sim.1430
Abstract
With the increasing pace of drug development, it is not unusual for several promising treatment regimens to be ready simultaneously for testing in a randomized phase III setting. Various limiting factors, including the time needed to transfer research results to clinical practice and a narrow ‘window of opportunity’, may make it unfeasible to perform trials to test such regimens sequentially against a control treatment in a traditional two-arm parallel group design. We present an approach to trial design based on eliminating inferior contenders at an early stage, allowing through to a second stage only treatments that show a predefined degree of advantage against a control treatment. The first stage of testing utilizes a marker known to be a valid intermediate outcome measure or surrogate for the definitive outcome. The experimental arms are compared pairwise with control according to this intermediate outcome measure. Arms that survive the comparison enter a second stage of patient accrual culminating in comparisons against control on the outcome measure of primary interest. We show how the design may be realized in practice by considering hypothetically distinct trials at stages 1 and 2, each with their own operating characteristics. The overall operating characteristics are computed from the stage 1 and 2 size and power and the correlation between the treatment effects on the intermediate and primary outcome measures according to a bivariate Normal approximation. The correlation is estimated by bootstrapping individual patient data from previous trials. We illustrate the general approach in a design of a real trial of four new chemotherapy regimens for advanced ovarian cancer. The intermediate outcome measure is progression-free survival. An international randomized controlled trial using the new design is already under way. Copyright © 2003 John Wiley & Sons, Ltd.Keywords
This publication has 20 references indexed in Scilit:
- Flexible parametric proportional‐hazards and proportional‐odds models for censored survival data, with application to prognostic modelling and estimation of treatment effectsStatistics in Medicine, 2002
- Randomized Intergroup Trial of Cisplatin-Paclitaxel Versus Cisplatin-Cyclophosphamide in Women With Advanced Epithelial Ovarian Cancer: Three-Year ResultsJNCI Journal of the National Cancer Institute, 2000
- Cyclophosphamide and Cisplatin Compared with Paclitaxel and Cisplatin in Patients with Stage III and Stage IV Ovarian CancerNew England Journal of Medicine, 1996
- Proportional hazards tests and diagnostics based on weighted residualsBiometrika, 1994
- Statistical validation of intermediate endpoints for chronic diseasesStatistics in Medicine, 1992
- Exact two-sample permutation tests based on the randomized play-the-winner ruleBiometrika, 1988
- Some Techniques for Assessing Multivarate Normality Based on the Shapiro- Wilk WJournal of the Royal Statistical Society Series C: Applied Statistics, 1983
- The asymptotic joint distribution of the efficient scores test for the proportional hazards model calculated over timeBiometrika, 1981
- EDF Statistics for Goodness of Fit and Some ComparisonsJournal of the American Statistical Association, 1974