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β错误、II型错误以及样本量在随机对照试验设计与解读中的重要性。对71项“阴性”试验的调查。

The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials.

作者信息

Freiman J A, Chalmers T C, Smith H, Kuebler R R

出版信息

N Engl J Med. 1978 Sep 28;299(13):690-4. doi: 10.1056/NEJM197809282991304.

DOI:10.1056/NEJM197809282991304
PMID:355881
Abstract

Seventy-one "negative" randomized control trials were re-examined to determine if the investigators had studied large enough samples to give a high probability (greater than 0.90) of detecting a 25 per cent and 50 per cent therapeutic improvement in the response. Sixty-seven of the trials had a greater than 10 per cent risk of missing a true 25 per cent therapeutic improvement, and with the same risk, 50 of the trials could have missed a 50 per cent improvement. Estimates of 90 per cent confidence intervals for the true improvement in each trial showed that in 57 of these "negative" trials, a potential 25 per cent improvement was possible, and 34 of the trials showed a potential 50 per cent improvement. Many of the therapies labeled as "no different from control" in trials using inadequate samples have not received a fair test. Concern for the probability of missing an important therapeutic improvement because of small sample sizes deserves more attention in the planning of clinical trials.

摘要

重新审视了71项“阴性”随机对照试验,以确定研究人员是否研究了足够大的样本,以便有很高的概率(大于0.90)检测到25%和50%的治疗反应改善。其中67项试验错过真正25%治疗改善的风险大于10%,同样有此风险的情况下,50项试验可能错过50%的改善。对每项试验真正改善的90%置信区间的估计表明,在这些“阴性”试验中的57项中,有可能有25%的潜在改善,34项试验显示有50%的潜在改善。在使用样本量不足的试验中,许多被标记为“与对照无差异”的疗法并未得到公平的检验。在临床试验规划中,因样本量小而错过重要治疗改善的可能性值得更多关注。

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