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Reference change values and power functions.

Natàlia Iglesias Canadell·Per Hyltoft Petersen·Esther Jensen·Carmen Ricós·Per E Jørgensen
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Abstract

Repeated samplings and measurements in the monitoring of patients to look for changes are common clinical problems. The "reference change value", calculated as zp x [2 x (CVI2 + CVA2)](1/2), where zp is the z-statistic and CVI and CVA are within-subject and analytical coefficients of variation, respectively, has been used to detect whether a measured difference between measurements is statistically significant. However, a reference change value only detects the probability of false-positives (type I error), and for this reason, a model to calculate the risk of missing significant changes in serial results from individuals (probability of false-negatives) is investigated in this work by means of power functions. Therefore, when an analyte is being monitored in a patient, power functions estimate the probability of detecting a defined real change by measuring the difference. Thus, when a measured difference is the same as the calculated reference change value, then it will be detected in only 50% of situations.

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Analysis of VarianceCalciumCreatinineData Interpretation, StatisticalFalse Positive ReactionsHemoglobin AHumansModels, BiologicalPredictive Value of TestsProbabilityReference ValuesJournal ArticleResearch Support, Non-U.S. Gov't

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Natàlia Iglesias Canadell, Per Hyltoft Petersen, Esther Jensen, Carmen Ricós, Per E Jørgensen. 2004. Reference change values and power functions.. https://doi.org/10.1515/cclm.2004.073

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