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The application of Student’s t -test in internal quality control of clinical laboratory

机译:学生t检验在临床实验室内部质量控制中的应用

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Background James O. Westgard advised that the relation between internal quality control (IQC) and statistical methods, such as t -test, should be seriously considered. The results of IQC fully fit in the requirements of the t -test. But there was no research on analyzing the results of IQC by t -test. So the study aimed to explore the value of t -test for IQC by analyzing a specific example. Methods The results of IQC about luteotropichormone (LH) were collected in July 2015 in two instruments from a clinical laboratory as a specific example. The pre-determined target value of IQC was evaluated by a one-sample t -test first. Then the consistency of two instruments was analyzed by comparing their results of IQC with two paired samples t -test. Results In middle LH level of No. 1 instrument, though there was no out-of-control IQC result, the difference between the mean of IQC results in July 2015 and the pre-determined target value was statistically significant ( t = 2.311, p = 0.027). So it was earlier to find whether the pre-determined target value was inappropriate by using a one-sample t -test when no out-of-control results appeared in the traditional IQC chart. For high LH level, the difference between the IQC results of two instruments was statistically significant ( t = 2.435, p = 0.020) in July 2015, so it was helpful to discover the inconsistency of two instruments by analyzing their IQC results with two paired samples t -test. Conclusions The one-sample t -test was helpful to guide the correction of pre-determined target value of IQC. Two paired samples t -test was beneficial to improve consistency between two instruments.
机译:背景James O. Westgard建议应认真考虑内部质量控制(IQC)与统计方法(例如t检验)之间的关系。 IQC的结果完全符合t检验的要求。但是,尚无关于通过t检验分析IQC结果的研究。因此,该研究旨在通过分析一个具体实例来探索t检验对IQC的价值。方法以2015年7月在临床实验室的两台仪器中收集有关促黄体激素(LH)的IQC结果为例。首先通过一次样本t检验评估IQC的预定目标值。然后,通过将其IQC结果与两个配对样本t检验进行比较来分析这两种仪器的一致性。结果在1号仪器的LH中级水平上,尽管没有失控的IQC结果,但2015年7月的IQC结果平均值与预定目标值之间的差异具有统计学意义(t = 2.311,p = 0.027)。因此,当传统IQC图表中未出现失控结果时,通过使用一次样本t检验来发现预定目标值是否不合适是更早的事情。对于高LH水平,2015年7月,两种仪器的IQC结果之间的差异具有统计学意义(t = 2.435,p = 0.020),因此通过分析两个配对样品的IQC结果有助于发现两种仪器的不一致。 t检验结论一次样本t检验有助于指导IQC的预定目标值的校正。两对样本t检验有助于提高两种仪器之间的一致性。

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