I have a data set to fit the simple Emax model (time vs AUEC0-24, sort by ID). No missing data.
model E=E0+EMAX*C/(EC50+C) E0 fixed to 0.
I used four method to fit the data and turned out the AICs for four method are all quite close (delta <1). The problem is the EC50 from FOCE ELS/FOCE LB/QRPEM are around 0.8, while the EC50 from IT2S_EM is around 0.6. Emax are all similar (around -19). Since the EC50 value will be critical for my next step, I wonder if there are any criteria to rationalize my choice between 0.6 and 0.8.
Edited by joybaker, 22 September 2020 - 04:19 AM.