Table 1

List of AIC, -2 log-likelihood and P-value for
the hypothesis models. The AIC and log-likelihood values were generated for
each model while estimating parameters using MONOLIX. The relationship between
the P-value and △AIC is following: P-value
= Probability (χ2 k > △AIC + 2k). Here, k is the
degree of freedom (i.e. the difference in T - the total number of model
parameters, including both structural and statistical model). Using this
relationship, P-value was calculated using Chi-squared distribution (CHIDIST)
function in Microsoft Excel, while comparing the AIC value and number of
parameters for each hypothesis model with the original model (PiOM).