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Cmax -Analysis Covariance Parameter Estimates Cov Parm Estimate SUBJECT(SEQUENCE) 0.7294 Residual 0.1584 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F SEQUENCE 1 45 0.18 0.6730 PERIOD 1 45 0.11 0.7456 FORM 1 45 0.38 0.5390 Estimates Standard Label Estimate Error DF ABE for logCmax 0.05083 0.08211 45 t Value Pr > |t| 0.62 0.5390 Least Squares Means Standard Effect FORM Estimate Error FORM R 1.2619 0.1375 FORM T 1.3128 0.1375 Differences of Least Squares Means Effect FORM _FORM Estimate FORM R T -0.05083 DF t Value Pr > |t| Alpha 45 -0.62 0.5390 0.1 Standard Error 0.08211 Differences of Least Squares Means Effect FORM _FORM Lower Upper FORM R T -0.1887 0.08707 confidence intervals as vertical bars and the null hypothesis value of 1 and the acceptance limits as dotted horizontal lines. These plots have been drawn using a modified version of the Splus-code given in Millard and Krause (2001), Chapter 7. The interval for AUC is not contained within the limits of 0.8 to 1.25, but the one for Cmax is. Therefore, T cannot be considered bioequivalent to R as it fails to satisfy the criterion for AUC.
DOI link for Cmax -Analysis Covariance Parameter Estimates Cov Parm Estimate SUBJECT(SEQUENCE) 0.7294 Residual 0.1584 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F SEQUENCE 1 45 0.18 0.6730 PERIOD 1 45 0.11 0.7456 FORM 1 45 0.38 0.5390 Estimates Standard Label Estimate Error DF ABE for logCmax 0.05083 0.08211 45 t Value Pr > |t| 0.62 0.5390 Least Squares Means Standard Effect FORM Estimate Error FORM R 1.2619 0.1375 FORM T 1.3128 0.1375 Differences of Least Squares Means Effect FORM _FORM Estimate FORM R T -0.05083 DF t Value Pr > |t| Alpha 45 -0.62 0.5390 0.1 Standard Error 0.08211 Differences of Least Squares Means Effect FORM _FORM Lower Upper FORM R T -0.1887 0.08707 confidence intervals as vertical bars and the null hypothesis value of 1 and the acceptance limits as dotted horizontal lines. These plots have been drawn using a modified version of the Splus-code given in Millard and Krause (2001), Chapter 7. The interval for AUC is not contained within the limits of 0.8 to 1.25, but the one for Cmax is. Therefore, T cannot be considered bioequivalent to R as it fails to satisfy the criterion for AUC.
Cmax -Analysis Covariance Parameter Estimates Cov Parm Estimate SUBJECT(SEQUENCE) 0.7294 Residual 0.1584 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F SEQUENCE 1 45 0.18 0.6730 PERIOD 1 45 0.11 0.7456 FORM 1 45 0.38 0.5390 Estimates Standard Label Estimate Error DF ABE for logCmax 0.05083 0.08211 45 t Value Pr > |t| 0.62 0.5390 Least Squares Means Standard Effect FORM Estimate Error FORM R 1.2619 0.1375 FORM T 1.3128 0.1375 Differences of Least Squares Means Effect FORM _FORM Estimate FORM R T -0.05083 DF t Value Pr > |t| Alpha 45 -0.62 0.5390 0.1 Standard Error 0.08211 Differences of Least Squares Means Effect FORM _FORM Lower Upper FORM R T -0.1887 0.08707 confidence intervals as vertical bars and the null hypothesis value of 1 and the acceptance limits as dotted horizontal lines. These plots have been drawn using a modified version of the Splus-code given in Millard and Krause (2001), Chapter 7. The interval for AUC is not contained within the limits of 0.8 to 1.25, but the one for Cmax is. Therefore, T cannot be considered bioequivalent to R as it fails to satisfy the criterion for AUC.
ABSTRACT