PubMed · 4689931
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E G Feldmann. 1973. APhA's bioavailability project.. https://doi.org/10.1016/s0003-0465(16)32518-6
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The methodological studies on biopharmaceutical analysis of drugs and their metabolites by liquid and gas chromatography with various detectors have been reviewed. Research articles were selected from well known journals published in the People's Republic of China between January 1991 and March 1993. The applications of these methods in bioavailability, pharmacokinetics, therapeutic drug monitoring and metabolic studies have also been discussed.
The multivariate linear model Y = X beta + epsilon is used to analyze data in 2 x 2 crossover designs with either univariate or multivariate response. Diagnostics are performed on estimating the effect of interest formulated as C beta U and on testing the general linear hypothesis C beta U = k. The multivariate Cook's distance is extended to be the influence measure by incorporating the contrast matrix C and the transformation matrix U, and magnitude of F(1)-F, the difference between the F approximation of a multivariate test statistic, is proposed as a measure to detect influential observations for testing the hypothesis C beta U = k. Both measures prove to be very useful because the diagnostics are now associated with estimating and testing effects of interest in the context of the experimental design.