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So why are we so reluctant to check our conclusions are valid?
It is easy to check our conclusions, if more precise information becomes available.
This approach gave us a manageable sample of studies and easy and immediate access to papers, and allows others to easily access publications cited in this review and check our conclusions.
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To be sure, IS-LM is an attempt to squeeze a dynamic economy into a static model, which is why people like me usually cross-check our conclusions with something intertemporal.
In these cases, we plan to cross-check our conclusions concerning orientational observables, such as dendritic orientation, with simulations on a higher-symmetry hexagonal lattice.
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This was done since each approach involves different trade-offs between model fit and complexity, and to check that our conclusions about PA are not overly sensitive to the precise method used.
We also varied these thresholds to check that our conclusions are robust (table 4).
Our use of sensitivity analyses to check whether our conclusions are affected by variations in definitions will also be a feature of our analyses.
To check whether our conclusions were biased by the use of an E. coli K-12 host strain, the experiments were repeated using the Sakai 813 EHEC O157 H7 strain.
For the robustness of our conclusion, we checked our model with different parameter sets of { D1, a 1, D 2, a 2, α} varying in all possible ranges and found that the Integration Model does generate a T G1 distribution with much closer resemblance to experimental result than the Instantaneous Model under all circumstances.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com