Abstract
The rationale for the objective assessment of dose-response curves (DRCs) is presented. Using data derived from isoprenaline/heart rate responses studies, two new statistical methods of objectively defining the terminal linear segment of an incomplete DRC are presented. Using data derived from phenylephrine/diastolic blood pressure response studies, the parallel shift quadratic model of Sumner et al. (1982) has been extended to include a measure of the suitability of the quadratic model for each individual data set using the Akaike information criterion. A parallel shift Emax model is proposed for complete DRCs.
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Selected References
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- Boxenbaum H. G., Riegelman S., Elashoff R. M. Statistical estimations in pharmacokinetics. J Pharmacokinet Biopharm. 1974 Apr;2(2):123–148. doi: 10.1007/BF01061504. [DOI] [PubMed] [Google Scholar]
- Johnston A. SIMP: a computer program in BASIC for nonlinear curve fitting. J Pharmacol Methods. 1985 Dec;14(4):323–329. doi: 10.1016/0160-5402(85)90008-7. [DOI] [PubMed] [Google Scholar]
- Sumner D. J., Elliott H. L., Reid J. L. Analysis of the pressor dose response. Clin Pharmacol Ther. 1982 Oct;32(4):450–458. doi: 10.1038/clpt.1982.188. [DOI] [PubMed] [Google Scholar]