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If information on canceled limit orders had been available for our dataset, effects of order imbalance would have been even more pronounced.
In this dataset, effects of SGA showed modest attenuation after applying our reference-free method.
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In the GEE model that was fitted for this dataset, the effects of each study drug was compared to the effects of pooled vehicle.
It is assumed that these dataset specific effects are caused by the self-similarity and cluster structure inherent to these datasets.
On the contrary, once erroneous values permeate a dataset, their effects can cascade in unpredictable ways.
Based on the moderately positive correlation between estimated parental breeding values from the mean and variance models for untransformed data (DHGLM2) of the current dataset, scaling effects may explain some of the genetic heterogeneity of within-family variance.
The tight hierarchical clustering of P5 FLS samples across the KEGG and passage datasets demonstrates that inter-dataset batch effects are minor relative to the RA methylation signature (see Results).
Patient use patterns and seasonality have a considerable effect on the distribution of the dataset, an effect that must be considered when designing the autoregressive model.
This approach minimized intra-dataset (that is, KEGG and passage FLS datasets) batch effects like BeadChip lot, reagent lot, lab processing, or temporal variability).
Related to the age structure of the SHARE dataset, the effect of smoking shows the long-lasting impact of adverse health behaviour.
For the full dataset, the effect was only significant in the first year of follow-up which may reflect increased risk earlier in treatment or insufficient power to detect an association after the first year.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com