Abstract
Resulting from a clinical consulting case in urology we de- veloped a software tool for determining nonlinear dose-response rela- tionships. Unlike most existing statistical software packages, we directly compute and display analytical pointwise 95% confidence intervals for the prediction result. Furthermore, user-defined changepoints with 95% confidence interval can be calculated in order to estimate the dosage for a 50% response rate, for instance. This is necessary to compare the effect of difierent retinoids, tumor cell lines, etc. In this way we supplement the clinical software-equipment in our laboratory and encourage the evalua- tion of dose-response data. The numerical and computational problems arising with nonlinear regression, 4-parameter logistic as well as log-logit modelling and the respective confidence intervals are addressed in par- ticular. Analysis of real data and an example data set demonstrate the approach. A demo version of the software tool can be downloaded from the first author’s homepage.
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Wagenpfeil, S., Treiber, U., Lehmer, A. (2000). A MATLAB-Based Software Tool for Changepoint Detection and Nonlinear Regression in Dose-Response Relationships. In: Brause, R.W., Hanisch, E. (eds) Medical Data Analysis. ISMDA 2000. Lecture Notes in Computer Science, vol 1933. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39949-6_23
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DOI: https://doi.org/10.1007/3-540-39949-6_23
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