| Autor: |
J O, Errecalde, N, Mestorino, E L, Mariño |
| Rok vydání: |
1997 |
| Předmět: |
|
| Zdroj: |
Veterinary research communications. 21(4) |
| ISSN: |
0165-7380 |
| Popis: |
The aim of this study was to assess the differences in the values of the pharmacokinetic parameters attributable to the use of either linear or nonlinear regression analysis and to find the effect of weighting schemes on these differences. Six calves received 20 mg/kg oxytetracycline i.v. Blood samples were drawn during 72 h. The assay of the drug was performed microbiologically. A bicompartmental pharmacokinetic model was used, kinetic analysis being carried out by linear regression (LR) and by weighted least-squares nonlinear regression (WLSNLR). Statistical analysis included a test for normality, the Kruskall-Wallis test and ANOVA with log transformation. The A0, alpha and B0 did not show any statistically significant differences attributable to the mathematical method used. On the other hand, the statistically significant differences in the beta values found using the Kruskall-Wallis test and ANOVA with log transformation could be attributed to the different methods employed. ANOVA with log transformation determined statistically significant differences between the parameters obtained by linear analysis and those obtained by WLSNLR when the weighting (w) was 1. When weights were 1/x, 1/x2 or 1/square root of x, no statistically significant differences were found. The optimal weighting scheme was w = 1/x2 because of a more homogeneous scatter and random distribution of residuals about the abcissa axis in a plot of weighted residuals in the ordinate versus time in the abcissa. It was concluded that the use of these different procedures can give major variations in the apparent value of beta, the most important pharmacokinetic parameter. The correct selection of the weighting procedure is therefore fundamental in obtaining the best estimate of this pharmacokinetic parameter in WLSNLR. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink