|Ordinary differential equation model selection
We applied an adaptation of a likelihood ratio test (LRT) with a threshold of 95%, which takes into account the different degrees of freedom for each model structure (Materials and Methods).
|Ordinary differential equation modeling
The result of each pairwise likelihood ratio test is then used to obtain the ranking of the corresponding model structures.
The models are sorted according to the Likelihood ratio test value as 81 Fig.
Values of the likelihood ratio test with the threshold of 95% are shown under each corresponding model.
P-Values were computed using either a Score test (A) or a Likelihood Ratio test (B).
Because the Likelihood Ratio test appeared to have significantly more power than both the Score test and the MAGMA F-test, empirical p-Values for the Likelihood Ratio test were computed by generating up to 10,000 permutations of the Likelihood Ratio statistic.
This was compared to the asymptotic Likelihood Ratio test p-Values (C), revealing a downward bias in the asymptotic p-Values.