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Discover LudwigThe phrase "marginal calculation" is correct and usable in written English
It can be used in contexts related to economics, finance, or decision-making where incremental changes or costs are being analyzed. Example: "In order to determine the profitability of the new product line, we need to perform a marginal calculation of the additional costs involved."
Exact(1)
Behind the current disquiet lies an implicit marginal calculation that makes good economic sense.
Similar(59)
However, as in Table 3, the performance of the standard model and the marginal risk calculation were similar, and the conditional risk calculation had the most accurate performance.
The differences in predicted and observed incidences within some anesthesiologists were slightly smaller for the standard model compared to the marginal risk calculation, because predictors included in the marginal risk calculation did not contain information of the anesthesiologist specific intercept as these predictors were adjusted for the random anesthesiologist effects.
Predicted risks from the random intercept model were calculated using only the fixed predictor effects (the marginal risk calculation), or both fixed predictor effects and random cluster effects (the conditional risk calculation).
We compare these two approaches to marginal risk calculation in terms of model calibration.
Apparent calibration in the large (overall) for the marginal risk calculation was almost optimal.
Only the calibration intercept of the marginal risk calculation showed an underestimation of the outcome incidence (intercept 0.14).
Marginal risk calculation from a random effects model is obtained by integrating over the distribution of random effects.
Optimism in overall and within cluster performance was similar for the standard model and the marginal risk calculation.
The standard calibration in the large and calibration slope were equal to the line of identity for the standard model, but not for the marginal risk calculation.
Bouwmeester et al. [ 3] used the incorrect marginal risk calculation and found that it produced mis-calibrated predictions with ICC as small as 0.15.
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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