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KMID : 1143620160200020069
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Korean Journal of Nuclear Medicine Technology
2016 Volume.20 No. 2 p.69 ~ p.74
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Standard Curve Validation using Trendlines in Excel
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Lee Kyung-Hwa
Park Hyung-Ki
Shin Young-Man
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Abstract
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Purpose : Using a regression formula of the trendline near the coefficient of determination (R2) "1" by substituting the
dependent variable of the standard curve to calculate the values of the independent variable. To determine the suitability of a regression equation by comparing the difference between the independent variables of the standard curve and the predicted independent variables .
Materials and Methods : Perkin Elmer Gamma-Counter machine was used for Standard curve of regression methods. TSH. TG-Ag (Thyroglobulin Antigen), Insulin that used materials and method test to compare the result from the Excel
trendline of the regression formula.
Results : Each of the value of coefficient of determination (R2) and Trendline R2=1, Polynomial Trendline for TSH , R2
=1, Polynomial Trendline for TG-Ag, R2=0.9994, Polynomial Trendline for Insulin.
Conclusion : We confirmed that IRMA immune method is found to the nearest trends elected a standard curve using polynomial trendline . The independent variables to predict the trend by using a polynomial trendline formula containing the error was a limitation .
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KEYWORD
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Regression, Standard curve, Trendline
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