Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances
| Autor: | Siu Hung Cheung, Feifang Hu, Jingya Gao, Wenfu Xu |
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| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Mathematical optimization Computer science Applied Mathematics Standard treatment Familywise error rate 01 natural sciences 010104 statistics & probability 03 medical and health sciences Computational Mathematics 0302 clinical medicine Non inferiority Computational Theory and Mathematics Homogeneous Adaptive design 030212 general & internal medicine 0101 mathematics |
| Zdroj: | Computational Statistics & Data Analysis. 124:168-179 |
| ISSN: | 0167-9473 |
| DOI: | 10.1016/j.csda.2018.03.005 |
| Popis: | In clinical studies, patients usually accrue sequentially. The response-adaptive design has been shown to be a valuable treatment allocation apparatus that skews the treatment allocation probabilities to achieve certain objectives such as reducing the number of patients who receive inferior treatments. The doubly adaptive biased coin design was successfully derived for the three-arm non-inferiority (NI) trial. For an NI study, an experimental treatment can be considered a possible substitute for the standard treatment if the loss of clinically tolerable efficacy is compensated by benefits such as the alleviation of side effects. Previous applications of the doubly adaptive biased coin design in NI trials were developed only for homogeneous treatment variances. However, it is worth to examine the more complicated, but nevertheless popular, scenarios in which the treatment variances are heterogeneous. The proposed treatment allocation scheme is superior when the treatment variances differ and remains very competitive when they are homogeneous. A clinical example is given for demonstrative purposes. |
| Databáze: | OpenAIRE |
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