Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
The correlation score was measured using -log(P) for correlation and log(P) for anti-correlation, where P is the p-value corresponding to the binomial probability of observing the corresponding frequency shift [ 15].
Similar(59)
B) The corresponding p -value for correlation coefficients.
Correlation data and P -values for correlation between microarray and qPCR data.
Detailed legends: The P values for correlation were determined by spearman's coefficience.
The adjusted P values for correlation between glucose level (as a continuous variable) and mortality were 0.007, <0.001, 0.043, <0.001, and 0.064.
The method of Begg and Mazumdar [ 25] was used to calculate P for rank correlation and Egger's weighted regression method [ 26] to calculate P for bias.
We also used the method of Begg and Mazumdar (1994) to calculate P for rank correlation and Egger's weighted regression method (Egger et al, 1997) to calculate P for bias.
From column 2-5 p-values for correlation between genes in follicular phase and in luteal phase are shown; columns 7-10 show p-values for correlation between cases and controls.
Initial screening of the genetic data was completed with the allelic association test in HelixTree software (Golden Helix, Bozeman, MT) which produced unadjusted p-values for correlation with each of the base model-predicted PK parameters.
In Table 8 p-values for correlation coefficients need to be adjusted for multiple comparisons.
P values for correlations were determined by linear correlation analysis (GraphPad Prism) using 2-tailed Pearson correlation coefficient.
Write better and faster with AI suggestions while staying true to your unique style.
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