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用于估计协变量相关参考区间的参数方法。

Parametric methods for estimating covariate-dependent reference limits.

作者信息

Virtanen Arja, Kairisto Veli, Uusipaikka Esa

机构信息

Central Laboratory, University Central Hospital of Turku, Turku, Finland.

出版信息

Clin Chem Lab Med. 2004;42(7):734-8. doi: 10.1515/CCLM.2004.124.

Abstract

Age-specific reference limits are required for many clinical laboratory measurements. Statistical assessment of calculated intervals must be performed to obtain reliable reference limits. When parametric, covariate-dependent limits are derived, normal distribution theory usually is applied due to its mathematical simplicity and relative ease of fitting. However, it is not always possible to transform data and achieve a normal distribution. Therefore, models other than those based on normal distribution theory are needed. Generalized linear model theory offers one such alternative. Regardless of the statistical model used, the assumptions behind the model should always be examined.

摘要

许多临床实验室检测都需要特定年龄的参考限值。必须对计算出的区间进行统计评估,以获得可靠的参考限值。当推导参数化、依赖协变量的限值时,由于其数学上的简单性和相对容易拟合,通常会应用正态分布理论。然而,并非总是能够对数据进行变换并实现正态分布。因此,需要基于正态分布理论之外的模型。广义线性模型理论提供了这样一种替代方法。无论使用何种统计模型,都应始终检验该模型背后的假设。

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