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首页> 外文期刊>Clinical chemistry and laboratory medicine: CCLM >Parametric methods for estimating covariate-dependent reference limits.
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Parametric methods for estimating covariate-dependent reference limits.

机译:估计依赖于协变量的参考极限的参数方法。

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摘要

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.
机译:许多临床实验室测量都需要特定年龄的参考限值。必须对计算出的间隔进行统计评估以获得可靠的参考极限。当推导出参数,与变量相关的极限时,由于其数学简单性和相对易拟合性,通常应用正态分布理论。但是,并非总是可以转换数据并实现正态分布。因此,需要除基于正态分布理论的模型以外的模型。广义线性模型理论提供了一种这样的选择。无论使用哪种统计模型,都应始终检查模型背后的假设。

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