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A valid experimental model could test new drugs under standardized circumstances and in a short period.
Similarly the model could test for effects of fixed variables between different cognitive tests.
Finally, the model could test for differential effects of fixed variables on change with time between the cognitive tests.
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Evaluating the effects of grass lectins on the leptin system in vivo by diet interventions or in vitro in various leptin and/or leptin receptor models could test the hypothesis that cereal lectins might be the cause of leptin resistance.
Having validated the model, we could test the response to modification of treatment, i.e., to the change in dose size or administration schedule.
The model could prove important for testing drugs and vaccines.
Using appropriate models, we could test our hypotheses at different time scales by analysing evolutionary constrains either within extant insect families, or during three successive branches of Mecopterida radiation.
These sites were chosen because they allowed the creation of bilateral and unilateral models that could test the 2 hypotheses and importantly, each showed consistent, strong activation across conditions relative to fixation, which is important when choosing regions for DCM analyses.
For example one could test the model by changing the proportion of negative cases in generating samples.
The model could also test for effects of fixed variables on change in this cognitive trait between waves.
Our logistic model could therefore test a maximum of 400 procedures or surgeries (i.e. 10 deaths per exposure) to safely avoid problems with over-fitting and model instability [ 8].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com