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. 2010 Dec 21;12(1):77–87. doi: 10.1208/s12249-010-9570-1

Table IV.

Fit of Various Model Equations (Eqs. 6, 7, 9, and 10) to Release Data for Tablets with a Single Release-Modifying Polymer

Batch k 1 k 2 k 3 c AIC
Higuchi
PG1 0.237 ± 0.0138 0.503 ± 0.0190 −27.70
PG2 0.287 ± 0.0174 0.305 ± 0.0286 −21.53
PG3 0.318 ± 0.00501 −33.49
PK1 0.260 ± 0.0127 −20.98
PK2 0.260 ± 0.0112 −22.62
PK3 0.252 ± 0.0113 −22.56
PX1 0.221 ± 0.00365 0.0524 ± 0.00908 −55.29
PX2 0.217 ± 0.00218 −56.50
PX3 0.216 ± 0.00237 −0.0397 ± 0.00590 −60.22
Peppas and Sahlin
PG1 0.0991 ± 0.0394a 0.0504 ± 0.0143a 0.585 ± 0.0244 −36.03
PG2 0.268 ± 0.144a 0.00601 ± 0.0451a 0.318 ± 0.100a −19.73
PG3 0.318 ± 0.0229 1.71 × 10−10 ± 0.00964a −31.49
PK1 0.143 ± 0.0190 0.0431 ± 0.00676 −33.32
PK2 0.161 ± 0.0216 0.0365 ± 0.00767 −31.54
PK3 0.150 ± 0.0194 0.0376 ± 0.00688 −33.06
PX1 0.221 ± 0.0201 3.093 × 10−12 ± 0.00424a 0.0524 ± 0.0203 −51.33
PX2 0.208 ± 0.0169 8.56 × 10−11 ± 0.00436a −37.48
PX3 0.214 ± 0.0130 0.000467 ± 0.00275a −0.0378 ± 0.0131 −26.20
Weibull
PG1 0.0337 ± 0.00809 0.634 ± 0.00439 −36.11
PG2 0.0393 ± 0.00361 0.470 ± 0.0239 −22.07
PG3 0.0784 ± 0.00989 −16.31
PK1 0.0498 ± 0.00182 −33.25
PK2 0.0502 ± 0.00143 −36.73
PK3 0.0472 ± 0.00203 −30.91
PX1 0.0234 ± 0.00136 0.209 ± 0.0171 −42.05
PX2 0.0360 ± 0.00307 −33.00
PX3 0.0224 ± 0.00130 0.116 ± 0.0168 −40.77
Diffusion, relaxation, and erosion
PG1 0.0682 ± 0.0527a 0.0228 ± 0.00796a 0.599 ± 0.00287 −37.14
PG2 0.264 ± 0.161a 0.00240 ± 0.0162a 0.320 ± 0.103a −19.66
PG3 0.318 ± 0.0229 5.700 × 10−11 ± 0.00321a −31.49
PK1 0.0733 ± 0.0269 0.00591 −40.37
PK2 0.0326 ± 0.0194a 0.0403 ± 0.00542 −37.80
PK3 0.114 ± 0.0289 0.0202 ± 0.00517 −35.20
PX1 0.221 ± 0.0201 1.031 × 10−12 ± 0.00141a 0.0524 ± 0.0203 −51.33
PX2 0.208 ± 0.0180 2.862 × 10−11 ± 0.00156a −30.69
PX3 0.214 ± 0.0131 0.000161 ± 0.000927a −0.0377 ± 0.0132 −58.32

a p > 0.05 and this coefficient is statistically insignificant. Therefore this model was not considered a candidate for the model that best fits the data