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By calculating a correction factor for further investigations, water content as one of the main causes for differing results between field and laboratory analyses can be diminished.
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Statistical significance was determined by calculating a p value (with Yates' correction factor where needed) and exact 95% confidence intervals (CIs), or Taylor series 95% CIs, as appropriate.
In a third step, the correction by the vector signal was made by calculating a C/V ratio before log transformation (base 2).
Correction by the vector signal was made for each spot signal by calculating a C∶V ratio before log transformation (base 2).
The approximation can be improved in a systematic way by calculating higher-order corrections.
We will illustrate this by calculating the lowest-order correction to mean-field theory based on coupling to second-order correlations.
Proportions were compared by calculating χ using Yates' correction, Fisher's exact or Mantel Haenszel tests.
Total body water was calculated, allowing a correction by 0·7%% for in vivo exchange.
Proportions were compared by calculating Chi square with Yates' correction.
For each slice, a representative (target) volume was automatically selected for motion correction by calculating the median intensity of each voxel (over time) and then selecting the volume closest to the median image (identified via minimal least squares error).
Then we performed a correction for multiple comparisons by calculating the q-value of each association by the Benjamini-Hochberg methodology.
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