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The relative biases were computed to compare the differences in values between the Kaplan-Meier estimates and the Monte Carlo extrapolation method.
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The relative bias was computed to compare the difference in values between the extrapolation and the Kaplan-Meier estimation.
Funnel plots were drawn, and Egger tests were computed to explore a potential publication bias.
In both experiments, a food bias score was computed to reflect the speed advantage (in ms) for detecting food vs. nonfood targets.
The coefficient of the regression of phenotypes on GEBV (b1) was computed to evaluate bias of the predictions.
Limits of agreement of the bias were ±398 mL (Figure 3), and percentage error was computed to 57%.
Two metrics are computed to quantify performance.
Then, (15) For ν, and σ, the bias is computed by comparing the average of the estimations obtained on the 1000 replications to the values used in the simulation design (0 for v, 0.5 for and 1 for σ).
Similarly, the increments in bias are computed and the bias vectors a and b are updated.
The bias is computed for the matched and unmatched control cases (fourth and fifth columns of Table 4).
The bias is computed by taking a linear regression through the points (θ i, θ ^ i ) with the restriction that the line must pass through (0, 0).
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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