Optimal Two-Stage Designs Based on Restricted Mean Survival Time for a Single-Arm Study
Document Type
Article
Publication Date
1-23-2021
Publication Title
Contemporary Clinical Trials Communications
Volume
21
First page number:
1
Last page number:
7
Abstract
© 2021 The Author(s) Restricted mean survival time is an alternative measure of treatment effect to hazard ratio in clinical trials with time-to-event outcome. The current methods have been focused on one-stage designs. In this article, we propose optimal two-stage designs for a single-arm study with the smallest expected sample size. We compare the performance of the new optimal two-stage designs with the existing one-stage design with regards to the expected sample size and the expected total study length. The simulation results indicate that the new two-stage designs can save the expected sample size substantially as compared to the one-stage design. We use a non-small cell lung cancer trial to illustrate the application of the proposed designs. The proposed optimal two-stage designs are recommended for use when time for patient accrual is longer than the pre-specified follow-up time.
Keywords
Optimal designs; Proportional hazards; Restricted mean survival time; Two-stage designs
Disciplines
Biostatistics | Clinical Trials
Language
English
Repository Citation
Shan, G.
(2021).
Optimal Two-Stage Designs Based on Restricted Mean Survival Time for a Single-Arm Study.
Contemporary Clinical Trials Communications, 21
1-7.
http://dx.doi.org/10.1016/j.conctc.2021.100732