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Stability of relative and absolute metrics: empirical evidence from pulmonology

机译:亲属和绝对度量的稳定性:肺系学的经验证据

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It has been widely argued that absolute treatment effect measurements (such as risk difference) reveal the “clinical benefit” of an intervention. Yet, many previous experience with binary endpoints have shown that they are unlikely to be transportable between populations. As absolute metrics are usually derived from baseline risk and relative metric (such as odds ratio), it seems logical to rather measure relative metrics, assuming they are stable. In the present study, a continuous endpoint was used to assess the stability of both relative and absolute metrics using a empirical data from pulmonology. Results are preliminary due to the low baseline variability, yet, the difference was significantly correlated with the baseline, unlike the ratio, which is in line with previous experience with binary endpoints. Further research is needed to explore the stability with continuous endpoints.
机译:已普遍认为,绝对治疗效果测量(如风险差异)揭示了干预的“临床益处”。然而,许多以前的二进制端点经验已经表明,它们不太可能在人口之间运输。由于绝对度量通常从基线风险和相对度量(例如赔率比)导出,因此似乎是相当测量相对度量的逻辑,假设它们是稳定的。在本研究中,使用连续终点来评估使用来自脉动的经验数据的相对和绝对度量的稳定性。结果由于低基线变异性而初步初步,但与基线不同,与基线不同,与基线相符,与二元端点以前经验一致。需要进一步的研究来探索连续终点的稳定性。

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