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The SR method converts the censored survival data into uncensored data, allowing users to improve the distributional fit using a wider range of fitting methods.
Based on the Benchmark Dose Technical Guidance, most fitting methods will provide a global goodness-of-fit measure, usually a p-value.
Errors with all four fitting methods declined with increasing iterations.
Five fitting methods are used to obtain the fitting curves.
However, all fitting methods are affected by the sudden shape change problem in GLD parameter estimation.
The popular fitting methods include paraboloid fitting [22 24] and quadratic fitting [1, 25 27].
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Isoconversional and model-fitting methods for estimating kinetic parameters are comparatively evaluated.
Many experiments provide insufficient data to use curve-fitting methods to calibrate the models.
These algorithms can be preferable to classical frequency response function based curve-fitting methods.
However, uniform high-order accuracy of various shock-fitting methods has not been systematically established.
Different implementations of shock-fitting methods have been published in the literature.
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