Fig 1.
Flow diagram for the screening procedure and selection criteria for the scientific articles chosen in this study.
Fig 2.
Time-line of conventional empirical/semi-empirical models.
a. [82]; b. [83]; c. [84]; d. [85]; e. [79]; f. [81]; g. [86]; h. [50]; i. [76].
Fig 3.
Diagram of the process for parameter estimation by Bootstrap resampling.
Table 1.
Main characteristics of the 40 datasets analyzed.
Table 2.
Evaluation of the p-value of the intercept, slope and F-statistic of the datasets.
Table 3.
Best fit for each data set according to R2, R2a, AIC and BIC.
Fig 4.
Average of R2—R2a of the data sets fitted to the second to fifth order polynomials.
Table 4.
Evaluation of the p-value of the intercept, last term, and F-statistic of the data sets.
Table 5.
Comparison of R2 and AIC criteria of data sets using Bootstrap resampling of empirical/semiempirical models and polynomial equations.
Fig 5.
AIC / BIC vs. R2 plots obtained from linear regression fitting (left) and AIC versus R2 obtained from Bootstrap fitting (right) for the zero-order (top) and first-order (bottom) mathematical models.
Fig 6.
AIC / BIC vs R2 plots obtained from linear regression fitting (left) and AIC vs R2 obtained from Bootstrap fitting (right) for the mathematical models of Korsmeyer-Peppas fitted to the entire release curve (top) and Korsmeyer-Peppas fitted to the first 60% of the release curve (bottom).
Fig 7.
AIC / BIC vs R2 plots obtained from linear regression fitting (left) and AIC vs R2 obtained from Bootstrap fitting (right) for the mathematical models of Weibull (top) and Hyperbolic Tangent Function (bottom).