In computing an analyte's index of individuality, which components must be considered?

Study for the ACVPM Epidemiology and Biostatistics Exam. Prepare with flashcards and multiple choice questions, with hints and explanations for each. Be exam-ready!

Multiple Choice

In computing an analyte's index of individuality, which components must be considered?

Explanation:
The index of individuality compares how much an individual’s results vary over time to how much the results vary between different people. To compute it correctly you need the within-subject variability (how a single person’s values fluctuate), the between-subject variability (how much people differ from each other), and the analytical variation (the measurement imprecision) because the observed fluctuations within a person include both true biological variation and assay error. If you only use the raw within-subject variation without accounting for analytical error, you may misestimate the true biological variation and misinterpret the index. So, all three components—within-individual CV, between-individual CV, and analytical CV—are essential.

The index of individuality compares how much an individual’s results vary over time to how much the results vary between different people. To compute it correctly you need the within-subject variability (how a single person’s values fluctuate), the between-subject variability (how much people differ from each other), and the analytical variation (the measurement imprecision) because the observed fluctuations within a person include both true biological variation and assay error. If you only use the raw within-subject variation without accounting for analytical error, you may misestimate the true biological variation and misinterpret the index. So, all three components—within-individual CV, between-individual CV, and analytical CV—are essential.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy