Statistical Analysis for Two-Stage Seamless Design with Different Study Endpoints
- 8 November 2007
- journal article
- research article
- Published by Taylor & Francis in Journal of Biopharmaceutical Statistics
- Vol. 17 (6) , 1163-1176
- https://doi.org/10.1080/10543400701645249
Abstract
In the pharmaceutical industry, it is desirable to apply an adaptive seamless trial design to combine two separate clinical studies that are normally conducted for achieving separate objectives such as a Phase II study for dose finding and a Phase III confirmatory study for efficacy. As a result, an adaptive seamless Phase II{/}III trial design consisting of two phases, namely a learning phase and a confirmatory phase, is commonly considered in pharmaceutical development. In some cases, however, the study endpoints for the two separate studies may be different due to long treatment duration. In this case, test statistics for the final analysis based on the combined data are necessary developed. In this paper, a test statistic utilizing data collected from both phases is proposed assuming that there is a well established relationship between the two different study endpoints. Formula for sample size calculation based on the proposed test statistic is derived. Sample size allocation at the two phases is also discussed.Keywords
This publication has 7 references indexed in Scilit:
- Adaptive Design Methods in Clinical TrialsPublished by Taylor & Francis ,2006
- Adaptive Seamless Phase II/III Designs—Background, Operational Aspects, and ExamplesDrug Information Journal, 2006
- The uncertainty associated with the weighted mean of measurement dataMetrologia, 2006
- Sample Size Calculations in Clinical ResearchPublished by Taylor & Francis ,2003
- Estimation of location parameters from two linear models under normalityCommunications in Statistics, 1974
- Combining Unbiased EstimatorsBiometrics, 1959
- Variance of a Weighted MeanBiometrics, 1953