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.