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When the model does not fit the data, the model is wrong.

机译:当模型不适合数据时,模型是错误的。

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To the Editor:-Piihringer et al. provide convincing evidence that sugammadex speeds the reversal of rocuronium and that the benefit increases with dose. Four figures display time to 90% train-of-four recovery as a function of sugammadex dose; in addition to raw data, each figure displays a curve based on fitting an exponential model to the data. Unfortunately, these curves provide misleading information about the dose-effect relationship. In that increasing the sugammadex dose should decrease (or not change) recovery time, the exponential model has the correct form (monotonic nonincreasing) but the wrong shape (as evidenced by its failure to match the data at low doses).The authors' intent in fitting this curve is to allow claims independent of the data. For example, based on their figure 1, one might claim that "following a dose of 2 mg/kg, time to 90% train-of-four is expected to be 30 min." Yet, this claim is not supported by the data. Similarly, any claim about the expected response at doses not studied cannot be inferred from the curve drawn by the investigators.
机译:致编辑:-Piihringer等。提供了令人信服的证据,表明舒马葡糖可加速罗库溴铵的逆转,且益处随剂量的增加而增加。四个数字显示了到90%的四次恢复率所需的时间,这是舒马得克斯剂量的函数;除原始数据外,每个图还基于对数据拟合指数模型显示一条曲线。不幸的是,这些曲线提供了关于剂量效应关系的误导性信息。由于增加sugammadex剂量应减少(或不改变)恢复时间,因此指数模型具有正确的形式(单调不增加),但形状错误(由低剂量时未能与数据匹配证明)。拟合该曲线是为了允许索赔独立于数据。例如,根据他们的图1,人们可能会声称“按照2 mg / kg的剂量,达到90%的四次训练所需的时间为30分钟”。但是,该声明不受数据支持。同样,关于未研究剂量下预期反应的任何主张都不能从研究者绘制的曲线中推断出来。

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