Bioassay

[#1]

This add-in helps you analyze and compare multiple bioassay curves fit with a 4-Parameter or 5-Parameter Logistic (4PL/5PL) model.   It calls the Nonlinear platform behind the scenes to fit the models to each curve and then creates a variety of graphical and tabular results.

The add-in contains two routines, Fit Curves and Test Parallelism.   Details about them are available by clicking Add-Ins > Bioassay > Help after installing the add-in.

To install the add-in, download "Bioassay.jmpaddin", drag it onto an open JMP window, then click "Install".  The add-in includes the three example data sets, "Compound Comparison.jmp", "Chemical Structures.jmp", and "Standard vs Unknown.jmp".  These are used for illustration in the help documentation.

Some example screen shots are below.

[Rao]

This is a very useful  add-in. How I can change it from EC50 to EC80

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[MN]

1. Could you please give me some information of what the "chisquare test" in the Bioassay Add-in represents? (formula)
   Is this chisquare value presented in JMP for the goodness of fit?  in other words, the sum of the weighted residuals of the constrained fit? or does it take to account the unconstrained, full model.  We tried to calculate the sum of the weighted residuals of the constrained fit and we never get the number presented.

2.  Is the Fpropbability calculated by the bioassay addin, the probability for non-parallel ? and the probability for parallel is (1-Fprob)? both according to Gottschulk and Dunn publication

When do we conclude that the sigmoid curves are parallel? when F-probability is >0.05 or 1-f-probability is >0.05

Your assistance will be appreciated.

[nicoja]

Hi could someone either provide or route me to the download section to retrieve the three mentoned example data sets, "Compound Comparison.jmp", "Chemical Structures.jmp", and "Standard vs Unknown.jmp"? Was there any progress in determining EC80 (see previous post by "Rao, 09-27-2018". Thank you!

Best, Nico

[russ_wolfinger]

Hi @nicoja The data sets are included with the add-in; look under the Example Data submenu.   EC80 can be derived from the logistic parameter estimates using a formula like the following:   EC80 = EC50 * (0.8/(1-0.8))^(1/Slope)