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Method Correlation Total Allowable Error vs Slope and Correlation Coefficient
Method Correlation Total Allowable Error vs Slope and Correlation Coefficient
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I was reading James Westgard's book on Basic Method Validation and came across the passage below.
I have been to many institutions and before I came along, they tend to just look at the slope and R value to see if two methods correlate.
I was always use to just using total allowable error as a means to compare acceptability. I think this is actually the correct way to interpret acceptability and I don't know why others *just use slope and R values.
Can a lab director define acceptability as >.9-1.1 & R>.95?
Can they pick and choose TAE *or slope/R when no TAE is defined for a regulated analyte? what are other people's practices at their institution? What is best practice?
TEa targets for Precision are common but not for Accuracy/Bias