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These two-way ANOVA's were performed to determine whether a possible gender difference would be dependent on trial-to trial variation.
A quantity to characterise the proportion of between trial variation in any meta-analysis relative to the total model variance of the included trials is needed.
The Cochrane handbook for systematic reviews acknowledges that inclusion of evidence on patients' perspectives can potentially reveal reasons for trial variation in effect [ 4].
Diversity may be described as the proportion of the total variance in a random-effects model contributed by the between trial variation despite the chosen between trial variance estimator.
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Might trial to trial variations in population state predict the apparent speed of animals' internal representation of elapsed time?
When between trial variations in HSP72 binding capacity were observed, relative differences in HSP72 binding affinity for the various peptides were maintained.
To evaluate the validity of trial by trial estimates, we assumed that arousal ratings from the validation sample of the IAPS (Lang et al., 2005) and habituation were the principal causes of trial by trial variations.
We believe it is less surprising that striatal, or any other, neurons predict time than that they predict time in a manner that agrees with the trial to trial variations in temporal judgments exhibited by a behaving subject.
All models had small between-trial variation in the mean and we therefore conclude they can be reliably used to estimate force from EMG on a group level.
In a study of single and two-layered networks of theta neurons [9], STR was analyzed using Lyapunov exponents and synaptic variance in the context of local noise, trial-to-trial variation affecting only select neuron, and global noise, trial-to-trial variation as an input to the entire network.
This is typically the hope when constructing an average; it does not contain all the information present in the original collection of responses, but does include a substantial part of the signal, as opposed to the noise responsible for trial-to-trial variation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com