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With decrease in K5 (Figure 7b) or increase in nH5 (Figure 7c) in Equation 2, the dose response can be made to be bistable over a wide range of ammonium sulphate concentration.

Exposure levels should be considered in the design phase of the analytical study to ensure that dose response can be evaluated in the analysis stage.

We argue that this should not be considered hormesis because none of the specific tumor responses contributing to the shape of the total tumor dose response can be considered hormetic or nonmonotonic.

Overall, one can be fairly confident that the model significantly captures the behavior of intracellular ERK activation by FGF pathway and that the observed biphasic pERK dose response can be explained by the complex interplay between FGF receptor, FGF2 ligand and HSGAG.

Others believe that the descending and ascending arms of a U-shaped dose response can be due to different processes, and hence, the curve itself consists of 2 different processes, each of which is monotonically increasing and decreasing: a proliferative mechanism in one region and an inhibitory one in the other.

It has been shown both experimentally and computationally that nonmonotonic dose responses can be generated by the opposing actions of multiple receptors (Conolly and Lutz 2004; Vandenberg et al. 2012; Watson et al. 2010).

In this case, there are specific parameters, where a bell-shaped non-monotonic dose-response can be observed).

This genetic dose-response can be used to validate candidate drug targets and predict in vivo responses to inhibitor compounds.

When the outbreak is traced to a food or water source that can be quantitatively cultured under circumstances that allow the original dose to be estimated, the actual dose-response can be measured.

From this multistage characterization, the overall shape of the tumor dose-response can be considered to be an integration of the individual probability curves for the key events essential for tumor development following exposure to a DNA-reactive carcinogen.

In statistics, sigmoidal dose-responses can be identified by non-linear regression, a form of regression analysis where the model function is a non-linear combination of the model parameters (Seber and Wild, 1989).