We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Comparison of four indirect (data mining) approaches to derive within-subject biological variation.
- Authors
Tan, Rui Zhen; Markus, Corey; Vasikaran, Samuel; Loh, Tze Ping
- Abstract
Evaluation of the performance of the techniques To compare the performance of different techniques, the fractional error of the derived I CV i SB I i i sb is determined as below. HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mi>r</mi><mi>r</mi><mi>o</mi><mi>r</mi><mo>=</mo><mfrac><mi>C</mi><msub><mi>V</mi><mi>d</mi><mi>e</mi><mi>r</mi><mi>i</mi><mi>v</mi><mi>e</mi><mi>d</mi></msub><mo>-</mo><mi>C</mi><msub><mi>V</mi><mi>a</mi><mi>c</mi><mi>t</mi><mi>u</mi><mi>a</mi><mi>l</mi></msub><mrow><mi>C</mi><msub><mi>V</mi><mi>a</mi><mi>c</mi><mi>t</mi><mi>u</mi><mi>a</mi><mi>l</mi></msub></mrow></mfrac></math> ht Graph where I CV i SB I derived i sb and I CV i SB I actual i sb are the derived and actual I CV i SB I i i sb respectively. The coefficient of variation for the remaining data, I CV i SB I rr i sb , is calculated and from this the I CV i SB I i i sb is obtained as follows: HT <math overflow="scroll" xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><msubsup><mi>V</mi><mi>i</mi><mn>2</mn></msubsup><mo>=</mo><mfrac><mi>C</mi><msubsup><mi>V</mi><mi>r</mi><mi>r</mi><mn>2</mn></msubsup><msqrt><mn>2</mn></msqrt></mfrac><mo>-</mo><mi>C</mi><msubsup><mi>V</mi><mi>a</mi><mn>2</mn></msubsup></math> ht Graph (3) 4) Modified result ratio method Here, a modification of the result ratio method [[19]] with more stringent outlier exclusion is examined. In general, the EMS, result ratio and modified result ratio yielded estimates of I CV i SB I i i sb within ±0.1 fractional error.
- Subjects
BIOLOGICAL variation; DATA mining; PROSTATE-specific antigen; FIBROBLAST growth factors
- Publication
Clinical Chemistry & Laboratory Medicine, 2022, Vol 60, Issue 4, p636
- ISSN
1434-6621
- Publication type
Article
- DOI
10.1515/cclm-2021-0442