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Comment: Is Response-Adaptive Randomization a "Good Thing" or Not in Clinical Trials? Why We Cannot Take Sides
被引:0
|作者:
Giovagnoli, Alessandra
[1
]
机构:
[1] Univ Bologna, Dept Stat Sci, Via Belle Arti 41, I-40126 Bologna, Italy
关键词:
Bayesian response-adaptive randomization;
doubly adaptive;
modelling and simulation;
simply adaptive;
Thompson's sampling;
D O I:
10.1214/23-STS865E
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
The paper by Robertson et al. intends to provide "a unified, broad and fresh review of methodological and practical issues to consider" as a contribution to the ongoing debate concerning RAR in clinical trials. Simulations carried out by different authors seem to disprove its usefulness both for statistical inference and as a safeguard for the care of patients in the trial. I argue that the arguments brought forward so far are inconclusive, since the inferential considerations are sometimes incomplete or incorrect, and some simulation studies unconvincing. A Bayesian stand is very common, but often not fully understood.
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页码:224 / 228
页数:5
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