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The effect size is a simple quantitative measure that provides one useful index of the importance of an effect.
In short, effect size is a simple quantitative measure that provides one useful index of the importance of an effect.
In criterion-referenced evaluations, the importance of an effect is judged in relation to a clear biological or clinical criterion.
Judgments by investigators as to whether an adverse event is related to the drug can lead to discounting the importance of an effect.
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Consider the global importance of such an effect: the world could use one-fifth less farm land to produce its food.
The importance of such an effect goes against dogma in the field: it was recently stated that 'The differences in the preprocessing steps for microarray data are immaterial... [when] the original classifier was developed using RT-qPCR' [ 36].
The potential importance of such an effect is suggested by the observations that, in contrast with IGF-1, IGF-2 levels appear to be unaffected by GH levels [ 160] and do not predict incident cancer [ 156].
The critical period model focuses on the importance of an independent effect of social exposure during a specific sensitive period in life, having lasting effects on adult health [ 14- 16].
The pre-publication history for this paper can be accessed here: * Critical period model focuses on the importance of an independent effect of exposure to manual SEP during a specific sensitive period in life, having lasting effects on adult health.
* Critical period model focuses on the importance of an independent effect of exposure to being outside the workforce during a specific sensitive period in life, having lasting effects on adult health.
Finally, P values give no indication as to the clinical importance of an observed effect.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com