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The thresholds for statistical and clinical significance – a five-step procedure for evaluation of intervention effects in randomised clinical trials

机译:统计和临床意义的阈值–评估随机临床试验中干预效果的五步程序

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摘要

BackgroundThresholds for statistical significance are insufficiently demonstrated by 95% confidence intervals or P-values when assessing results from randomised clinical trials. First, a P-value only shows the probability of getting a result assuming that the null hypothesis is true and does not reflect the probability of getting a result assuming an alternative hypothesis to the null hypothesis is true. Second, a confidence interval or a P-value showing significance may be caused by multiplicity. Third, statistical significance does not necessarily result in clinical significance. Therefore, assessment of intervention effects in randomised clinical trials deserves more rigour in order to become more valid.
机译:评估随机临床试验结果时,95%的置信区间或P值不足以证明具有统计学意义的阈值。首先,P值仅显示假设零假设为真的结果的概率,而不能反映假设零假设的替代假设为真的结果的概率。其次,显示多样性的置信区间或P值可能是由多重性引起的。第三,统计学意义并不一定导致临床意义。因此,在随机临床试验中对干预效果的评估应更加严格,以便变得更加有效。

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