论文标题
通过接受分析改善临床试验解释
Improving clinical trial interpretation with ACCEPT analyses
论文作者
论文摘要
随机对照临床试验的有效决策依赖于对数值结果的强大解释。但是，我们用来描述临床试验的语言可能会在试验设计中引起混乱，并在比较跨试验的结果中。使用概率高于阈值（接受）的可接受性曲线估计（即使在不同的设计中）通过协调结果的报告，承认对结果的不同解释可能在不同情况下有效，并将重点从比较转变为试验数据的解释，从而将重点从比较到预先指定的价值转移到试验数据的解释。接受可以应用于历史试验，也可以纳入统计分析计划以进行未来分析。在线工具可以同时接受最多三个试验。
Effective decision making from randomised controlled clinical trials relies on robust interpretation of the numerical results. However, the language we use to describe clinical trials can cause confusion both in trial design and in comparing results across trials. ACceptability Curve Estimation using Probability Above Threshold (ACCEPT) aids comparison between trials (even where of different designs) by harmonising reporting of results, acknowledging different interpretations of the results may be valid in different situations, and moving the focus from comparison to a pre-specified value to interpretation of the trial data. ACCEPT can be applied to historical trials or incorporated into statistical analysis plans for future analyses. An online tool enables ACCEPT on up to three trials simultaneously.
