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To do so, we calculated prediction intervals around our model estimates (this is, the probability of deep vein thrombosis) for each Wells rule score.
The model estimates this latent variable based on the joint distribution of the separate health indicators as well as the distribution of health services use.
Because these nonmonetary values are not incorporated in model estimates, this study likely underestimates the total value lost to green crab invasion.
To estimate the overall change in relative difference in non-manual vs. manual groups, we calculated the ratio of HRs (or the change in hazard ratio) per year over the entire 35-year calendar period from the Cox regression model estimates – this provided an estimate of the change in hazard ratio (or relative risk) over the entire follow-up period.
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This model estimates the effect of covariates on the time until an event, in this case death, following a diagnosis.
This model estimates the density of PAN and OPF independent of operational parameters and can be expanded to all operational parameters.
Using the Nets' remaining schedule, and assuming they do not make drastic roster changes, this model estimates the Nets will win 22 percent of their remaining games.
This model estimates the probability of workers to be employed in the new sector given their current employment status.
In practice, this model estimates the shape of the distribution for T and then covariates shifts the location of this distribution along the time axis.
The researchers have determined that this model estimates the parameters more precisely.
This model estimates the risk of death for each patient based on the Elixhauser comorbidity score.
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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