Qc Flashcards
a pure, well-defined substance used to prepare known concentrations
primary standard
a commercially available material, pre-calibrated to a primary standard
secondary standard
validation methods:
student t-test
analysis of variance (ANOVA)
linear regression
pearson correlation coefficient
Bland-Altman plot
refers to how close an assay result is to the theoretical true value of the analyte
Accuracy
the magnitude of error between the test result and the true value
Accuracy
ensures the results are correct
Accuracy
ensures results are reproducible
Precision
determines if two means are significantly different
Student T-test
assesses variation within two sets of values
Analysis of Variance (ANOVA)e
examines the relationship between two sets of values
Linear Regression
measures how closely two datasets are related
Pearson Correlation Coefficient
analyzes agreement between two measurement methods
Bland-Altman Plot
compares the average (mean) values of two groups to see if they are statistically different from each other
Student T-test
types of t-tests
- Unpaired (Independent)
- Paired
- One-tailed vs. Two-tailed
types of t-tests
used when comparing two separate groups
unpaired (independent)
types of t-tests
used when comparing results from the same sample tested by both methods
paired
types of t-tests
used when we only care about a difference in one direction
One-tailed
types of t-tests
used when both higher and lower values matter
Two-tailed
serves a similar purpose as the student t-test, but with the advantage that it can be used to compare more than two sets of data
Analysis of Variance (ANOVA)
used to analyze paired data sets
Pearson Correlation Coefficient
this helps determine whether data points agree with sufficient precision across the analytical measurement range (AMR)
Pearson Correlation Coefficient
once a pearson r-value confirms an adequate correlation range, what is used next
Linear Regression Analysis
helps determine how closely the two methods align
Linear Regression
the Bland-Altman plot is also known as
Tukey Mean Difference Plot
offers a graphical method to assess agreement between two assays
Bland-Altman Plot
particularly useful for detecting systematic differences (bias) between two assays and understanding how measurement differences vary across the range of values
Bland-Altman Plot
