Would a probit analysis suffice? If so, then set up your data table so that you have a separate data column to indicate group membership for each grouping, a data column with the total number of subjects, and another data column with the number of dead subjects. Here is an example from a JMP training course where there is only one grouping variable, Pressure.
![markbailey_0-1635946772804.png markbailey_0-1635946772804.png](https://community.jmp.com/t5/image/serverpage/image-id/37227i40D28A2F5CC984C9/image-size/medium?v=v2&px=400)
Set up the analysis like this:
![probit.PNG probit.PNG](https://community.jmp.com/t5/image/serverpage/image-id/37224i58DFC80D3483627F/image-size/large?v=v2&px=999)
Note that the order of the data columns are entered into the Y role.
You now get this result.
![markbailey_1-1635946801804.png markbailey_1-1635946801804.png](https://community.jmp.com/t5/image/serverpage/image-id/37228iCA75DC02C96F4DE4/image-size/medium?v=v2&px=400)
The Profiler can be used to find LC50 and other information
![markbailey_2-1635946846190.png markbailey_2-1635946846190.png](https://community.jmp.com/t5/image/serverpage/image-id/37229iC8A571DD2D809019/image-size/medium?v=v2&px=400)
.