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Figure 1: The p-value, represented as the shaded area under the probability density of the tested hypothesis $X \sim N 0,1)$, for observed data $x=1.8$$p=0.072$2$x=1.8$$p=0.072$
There are several possible explanations for observed data.
Descriptive summary statistics for observed data were provided.
Antibody response was characterized by the area under the titer curve (AUC), calculated using the trapezoidal method for observed data.
The primary endpoint was analysed using the Wilcoxon rank sum test for observed data with a separate supportive analysis using linear extrapolation (LE) to impute missing values.
We should test the performance of our method for various structures of networks with different parameters as well as for observed data.
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Components represent the underlying dimensions that summarize or account for the original set of observed data.
That is, for each regression, there is a predicted value for the missing data and also a predicted value for the observed data.
In Bayesian statistical inference, B stands for the parameters to be estimated and A stands for the observed data.
We rather propose that the high affinity of TAF3 for H3K4me3, a unique feature of TAF3 relative to other TAFs, accounts for the observed data.
Number of replicas (Rp) for the observed data object .
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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