In vitro-in vivo correlation (IVIVC) models for formulation series are useful in drug development, but the current models are limited by their inability to include data variability in the predictions. Our goal was to develop a level A IVIVC model that provides predictions with probabilities. The Bay
A correlational approach to studying Bayesian inference in experimental settings
β Scribed by David Navon
- Publisher
- Elsevier Science
- Year
- 1975
- Weight
- 659 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0030-5073
No coin nor oath required. For personal study only.
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