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An alternative approach is to examine a statistically significant number of well determined protein structures since this allows one to determine whether the experimental uncertainties are sufficiently small to allow some of the bond valence rules to be used.
Experimental and modeling uncertainty analysis are presented to determine whether the experimental data can be used in future efforts aimed at minimization of chemical kinetic model parameter uncertainties.
The objective is to determine whether the experimental drug provides a beneficial effect.
The statistical methods and analysis of the papers were assessed to determine whether the experimental design and the statistical analysis were appropriate.
We examined original reports to determine whether the experimental design tested for synergy and whether synergy was demonstrated.
We therefore wanted to determine whether the experimental introduction of mycorrhizal fungi to knotweed roots with a nurse plant [ 24, 25] might stimulate the production of resveratrol and its derivatives.
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The main outcome analyzed to determine whether this experimental ocular hypertension can induce a glaucoma was indicated by the observed development of cupping of the optic disc and by the selective loss of retinal ganglion cells in histopathologic specimens.
Although some error variance would be expected, analyzing the distributions of change responses across baseline decisions for the individual treatment conditions determines whether or not the experimental manipulations had any systematic effect.
Our review suggests that case-control studies cannot easily determine whether the observed differences in the experimental readout between the study and control groups is due to sepsis per se, or other differences between the groups including age, comorbidities and treatment interventions.
Therefore, it is inevitably difficult to determine whether the effect of an experimental manipulation in vivo (e.g. ablation) is direct or secondary.
Then, the pattern of maps observed in the group-averaged data was statistically tested at the individual level using a competitive fitting procedure that determines whether a given experimental condition is more often described by one map versus another.
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CEO of Professional Science Editing for Scientists @ prosciediting.com