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Linear time-dependent reference intervals where there is measurement error in the time variable-a parametric approach

机译:线性时间相关参考区间,其中时间变量中存在测量误差-参数方法

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This article re-examines parametric methods for the calculation of time specific reference intervals where there is measurement error present in the time covariate. Previous published work has commonly been based on the standard ordinary least squares approach, weighted where appropriate. In fact, this is an incorrect method when there are measurement errors present, and in this article, we show that the use of this approach may, in certain cases, lead to referral patterns that may vary with different values of the covariate. Thus, it would not be the case that all patients are treated equally; some subjects would be more likely to be referred than others, hence violating the principle of equal treatment required by the International Federation for Clinical Chemistry. We show, by using measurement error models, that reference intervals are produced that satisfy the requirement for equal treatment for all subjects.
机译:本文重新检查了用于计算时间特定参考间隔的参数方法,其中时间协变量中存在测量误差。以前发表的作品通常基于标准的普通最小二乘法,并在适当时进行加权。实际上,当存在测量误差时,这是一种不正确的方法,在本文中,我们证明了在某些情况下使用此方法可能会导致推荐模式随协变量的不同值而变化。因此,并非所有患者都能得到平等的待遇。一些受试者比其他受试者更可能被转诊,从而违反了国际临床化学联合会要求的平等对待原则。我们显示,通过使用测量误差模型,可以得出满足所有受试者平等待遇要求的参考区间。

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