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Optimal sampling times in population pharmacokinetic studies

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Abstract:

We propose a simulation-based approach to decision theoretic Bayesian optimal design. The underlying probability model is a population pharmacokinetic model which allows for correlated responses (drug concentrations) and patient-to-patient heterogeneity. We consider the problem of choosing sampling times for the anticancer agent paclitaxel, using criteria related to the total area under the curve, the time above a critical threshold and the sampling cost.

Keywords: Clinical trial; Limited sampling strategies; Longitudinal data; Markov chain Monte Carlo methods; Optimal design; Population model

Document Type: Original Article

DOI: http://dx.doi.org/10.1111/1467-9876.00239

Affiliations: 1: University of Chicago, USA, 2: Duke University, Durham, USA

Publication date: January 1, 2001

bpl/rssc/2001/00000050/00000003/art00007
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