Hello,
We have five control samples with known concentration and a quantitative assay result. Using the controls, we can draw a standard curve so that the concentration is represented on the x-axis and the quantitative assay result is on the y axis. The data is expected to be linear. I have clinical samples with quantitative assay result, but unknown concentration. I would like to determine the concentration of the clinical samples based on the quantitative assay result.
Using the fit Y by X function, I fit a line and obtain the regression line equation. I can solve the equation for x and set a formula in jmp to solve for x.
The challenge is that for each clinical run I will have a standard curve for each fluorophore, and a new standard curve for each new clinical run. Therefore, I will have different equations and will need to write different formula to solve for x.
Is there a more automated way for me to solve for x? I have used GraphPad prism in the past (describe in this link: GraphPad - FAQ 1753 - Prism 3 -- Calculating "Unknown" Concentrations using a Standard Curve)and I would imagine that there is a more straightforward way for me to interpolate my x values with JMP. I would really appreciate a step by step procedure as I am a relatively new JMP user. Thank you!
Use the "nonlinear" platform under "analyze" and "modeling".
After fitting curves, you can use the "Custom Inverse Prediction" for interpolating "x" values.
Hello,
Inverse prediction is available is several platforms including fit model.
Best,
Bill
Use the "nonlinear" platform under "analyze" and "modeling".
After fitting curves, you can use the "Custom Inverse Prediction" for interpolating "x" values.
Hello,
Inverse prediction is available is several platforms including fit model.
Best,
Bill