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Mixed response and time-to-event endpoints for multistage single-arm phase II design

Overview of attention for article published in Trials, June 2015
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Title
Mixed response and time-to-event endpoints for multistage single-arm phase II design
Published in
Trials, June 2015
DOI 10.1186/s13063-015-0743-9
Pubmed ID
Authors

Xin Lai, Benny Chung-Ying Zee

Abstract

The objective of phase II cancer clinical trials is to determine if a treatment has sufficient activity to warrant further study. The efficiency of a conventional phase II trial design has been the object of considerable debate, particularly when the study regimen is characteristically cytostatic. At the time of development of a phase II cancer trial, we accumulated clinical experience regarding the time to progression (TTP) for similar classes of drugs and for standard therapy. By considering the time to event (TTE) in addition to the tumor response endpoint, a mixed-endpoint phase II design may increase the efficiency and ability of selecting promising cytotoxic and cytostatic agents for further development. We proposed a single-arm phase II trial design by extending the Zee multinomial method to fully use mixed endpoints with tumor response and the TTE. In this design, the dependence between the probability of response and the TTE outcome is modeled through a Gaussian copula. Given the type I and type II errors and the hypothesis as defined by the response rate (RR) and median TTE, such as median TTP, the decision rules for a two-stage phase II trial design can be generated. We demonstrated through simulation that the proposed design has a smaller expected sample size and higher early stopping probability under the null hypothesis than designs based on a single-response endpoint or a single TTE endpoint. The proposed design is more efficient for screening new cytotoxic or cytostatic agents and less likely to miss an effective agent than the alternative single-arm design.

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Unspecified 2 22%
Student > Ph. D. Student 2 22%
Professor 1 11%
Student > Doctoral Student 1 11%
Other 0 0%
Readers by discipline Count As %
Unspecified 2 22%
Mathematics 2 22%
Medicine and Dentistry 2 22%
Economics, Econometrics and Finance 1 11%
Computer Science 1 11%
Other 0 0%
Unknown 1 11%