Examples of 'p-values' in a sentence
Meaning of "p-values"
p-value (noun) - a statistical measure that helps determine the significance of results in hypothesis testing
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- plural of p-value
How to use "p-values" in a sentence
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p-values
P-values were derived from previously published estimates.
Distribution of p-values when comparing two groups.
P-values not adjusted for multiple comparisons.
Differences were considered statistically significant for p-values.
All other p-values should be considered nominal.
Agreement between measured and calculated p-values.
Smaller p-values indicate greater statistical significance.
We will continue our discussion on p-values and.
P-values were adjusted for multiple comparisons.
There is danger in relying on p-values too much.
Both of the p-values are highly significant for efficacy.
One thousand simulations were used to estimate p-values.
The likelihood ratio p-values are in the deviance table.
They only find a few significant p-values.
Hazard ratio and p-values are calculated separately for ticagrelor vs.
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Statistical analysis was performed and p-values.
Response rates and p-values based on a logistic regression model.
The bold numbers are significant p-values.
The matrix of p-values is displayed so as to identify which distances are significant.
Those are totally incorrect interpretations of p-values.
P-values indicate statistical differences between the two formulations.
The exclusion values may be p-values or the like.
Significant p-values are indicated by underline.
We employed descriptive and inferential statistical analyses and p-values.
P-values versus control are indicated by symbols above the bars.
The authors signal that p-values should be generally conservative.
The results of the correlation are presented in percentages and p-values.
Misunderstandings of p-values are common in scientific research and scientific education.
However, the indirect structure variables showed more statistically significant p-values.
There is widespread agreement that p-values are often misused and misinterpreted.
All p-values are pairwise comparisons of proportions for adalimumab versus placebo.
Both allelic and genotypic p-values were calculated for all markers.
Global p-values were used to investigate the significance of categorical variables.
Bonferroni corrections were applied for p-values to account for multiple testing.
P-values are obtained by comparing likelihood ratio test to chi square distributions.
No adjustments to the p-values for the two analysis time points were made.
P-values were obtained by comparing likelihood ratio test to chi square distributions.
Unadjusted and adjusted two-sided p-values for multiple comparisons were calculated.
The p-values corresponding to differences between certain treatment groups are given.
The associated statistics, the degrees of freedom and the p-values are displayed.
Therefore, p-values should not be overinterpreted or used as the only indicator of difficulty.
In this way, statisticians feel that it complements inferential statistics such as p-values.
P-values for the secondary endpoints and for single components are nominal.
There are many more subtleties in p-values and we recommend the following additional reading,.
P-values provide an indication of whether the differences between the estimates are real.
Grey circles denote expected p-values and blue circles show observed p values.
P-values for the difference between treatments estimated slopes were also calculated.
In sequence, the correlation estimates and the p-values of the statistical tests were presented.
All the p-values are close to zero therefore all of these estimates are significant.
Correlated errors can lead to false precision and p-values that are too small.
