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KMID : 1101320060380010016
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Korean Journal of Clinical Laboratory Science
2006 Volume.38 No. 1 p.16 ~ p.21
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A Study of Parallel Test Among Three ADVIA 2120 System
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Chang Sang-Wu
Cho Eun-Hae
Kim Nam-Yong
Chu Kyung-Bok
Lee Suk-Jong
Hong Sung-No
Oh Jong-Do
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Abstract
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Parallel testing means ordering a number of tests at the same time so abnormalities in any of the tests can be found quickly and used in making the diagnosis. This is a good medical strategy to eliminate diseases and it is relatively inexpensive if all the tests are potential sources of information and performed on the same analyzer. In regression, the equation for the straight line is recast as y = bx + a. This change in terminology leads to confusion. Here a is the y-intercept or constant and b is the coefficient or slope of the line. A few more words of caution about regression-as in all of statistics there are certain assumptions: the x value is a true measure, both X and Y distributions are normal, and homoscedasticity, i.e., the variance of y is the same for each value of x. In this study the linearity classification made by different scientists were always in agreement. Typical examples of curves that were considered linear are presented in Fig. 1-5. Because these automated procedures values were usually within five percent of each other the curvature could be easily detected. The plot of the WBC, RBC, hemoglobin, hematocrit and platelet concentrations from approximately 74.4 to 0×103/μL and 80.4-0×103/μL, 5.6-0×106/μL and 6.1-0×106/μL, 18.3-0 g/dL and 19.0-0 g/dL, 54.1-0% and 56.8-0% and 642.0 to 0.03×103μL and 754.0-0×103/μL on the ADVIA 2120 C Versus and A and B typical of an acceptable linear study as shown in Fig. 1-5. The grand mean of R2, intercept and slope is 0.99898, 0.99459 and 1.54626.
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KEYWORD
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Linearity, Regression, Grand mean
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