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).