A bayesian approach to Arrhenius prediction of shelf-life.
The use of a bayesian method for estimating the shelf-life of pharmaceutical formulations is evaluated and compared with classical linear regression. Using three real data sets, the greater flexibility provided by the bayesian approach is demonstrated. In particular, the bayesian approach enabled the consideration of cases when the error distribution is non-normal. However much more computation is required with the bayesian method.
School of Pharmacy, Queen's University of Belfast, Northern Ireland, United Kingdom.
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Li Wan Po
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Yoshioka
D001499:Bayes Theorem; D004355:Drug Stability; D007213:Indomethacin / Q000737:chemistry; D007700:Kinetics; D018020:Lithium Compounds / Q000737:chemistry; D008962:Models, Theoretical; D012044:Regression Analysis; D013431:Sulfates / Q000737:chemistry; D013816:Thermodynamics; D014801:Vitamin A / Q000737:chemistry
D018020:Lithium Compounds; D013431:Sulfates; D014801:Vitamin A; C054097:lithium sulfate; D007213:Indomethacin