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Optimal sampling time

Cumulative Frequency Distribution of 3 D-optimal sampling times... [Pg.93]

Figure 3.7 Frequency and cumulative frequency distributions of 3D-optimal sampling times for the Gompertz model, given the observations for subject 4. Vertical lines split the cumulative empirical distribution into equal probability regions. Figure 3.7 Frequency and cumulative frequency distributions of 3D-optimal sampling times for the Gompertz model, given the observations for subject 4. Vertical lines split the cumulative empirical distribution into equal probability regions.
TABLE I Optimal Sampling Times for Different Values of M for Example 9.2... [Pg.184]

Mechanistic models can describe pharmacological and physiological events in a more refined fashion and with greater utility than empirical models. Such models make more advanced and more realistic assumptions about drug distribution and effects. Mechanistic models may be used to find optimal sampling times during clinical trial design and to model clinical trial outcomes. The application... [Pg.176]

Merle, Y. and Mentre, F. (1999) Optimal sampling times for Bayesian estimation of the pharmacokinetic parameters of nortriptyline during therapeutic drug monitoring. / Pharmacokinet Biopharm 27 85-101. [Pg.53]

D.Z. D Argenio, Optimal sampling times for pharmacokinetic experiments,... [Pg.219]

Determine Optimal Sampling Times to Reduce Parameter Uncertainty... [Pg.2769]

A recommended approach for conducting toxicokinetic studies generally involves three steps. Step 1 is a preliminary study, which uses a minimum number of animals to estimate the range of blood/tissue concentrations, the required quantitation limit for the analytical method, and the optimal sampling times for the definitive toxicokinetic studies. Step 2 is the definitive study and generates blood and/or tissue concentration data for calculating the toxicokinetic parameters. Step 3 is the toxicokinetic study conducted in conjunction with the toxicology study to determine the internal dose and the effects of age and continuous exposure on kinetic parameters. [Pg.288]

M. Tod, C. Padoin, K. Louchahi, B. Moreau-Tod, O. Petitjean, and G. Perrit, Implementation of OSPOP, an algorithm for the estimation of optimal sampling times by the ED, EID, and API criteria. Comput Methods Programs Biomed 50 13-22 (1996). [Pg.326]

Schumacher, G. E., Choosing optimal sampling times for therapeutic drug monitoring, Clin. Pharm., 4(l) 84-92, 1985. [Pg.125]

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See also in sourсe #XX -- [ Pg.165 ]

See also in sourсe #XX -- [ Pg.165 ]



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