Abstract
It is shown that when one nonlinear regression model is a reparametrization of a second model, the parameter estimates, and their standard errors, for one model can be obtained directly from those obtained from fitting the other model.
Similar content being viewed by others
References
P. V. Pedersen. Curve fitting and modeling in pharmacokinetics and some practical experiences with NONLIN and a new program called FUNFIT.J. Pharmacokin. Biopharm. 5:513–531 (1977).
D. Wong, W. A. Colburn, and M. Gibaldi. Fitting concentration-time data to biexponential equations.J. Pharmacokin. Biopharm. 7:97–100 (1979).
C. R. Rao.Linear Statistical Inference and Its Applications, 2nd ed. John Wiley & Sons, New York, 1973, p. 338.
R. S. Jennrich and M. L. Ralston. Fitting nonlinear models to data.Annu. Rev. Biophys. Bioeng. 8:195–238 (1979).
Y. Bard.Nonlinear Parameter Estimation. Academic Press, New York, 1974, pp. 176–179.
S. Zacks.The Theory of Statistical Inference. John Wiley & Sons, New York, 1971, pp. 222–227.
R. S. Jennrich. Asymptotic properties of non-linear least squares estimators.Ann. Math. Stat. 40:633–643 (1969).
C. M. Metzler, G. L. Elfring, and A. J. McEwen. A package of computer programmes for pharmacokinetic modelling.Biometrics 30:562 (1974).
E. C. Frome and G. J. Yakatan. Statistical estimation of the pharmacokinetic parameters in the one compartment open model.Commun. Stat.-Simul. Comput. 9:201–222 (1980).
R. W. M. Wedderburn. Quasi-likelihood functions, generalized linear models and the Gauss-Newton method.Biometrika 61:439–447 (1974).
Author information
Authors and Affiliations
Additional information
This work was partially supported by the National Cancer Institute of Canada and the Natural Sciences and Engineering Research Council of Canada.
Rights and permissions
About this article
Cite this article
Holt, J.D., Black, W.D. On the transformation technique in pharmacokinetic curve fitting. Journal of Pharmacokinetics and Biopharmaceutics 11, 183–187 (1983). https://doi.org/10.1007/BF01061848
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/BF01061848