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The parameters considered in the search for a useful calibration model are type of regression method, calibration set selection, variable subset selection, outlier identification, Box-Cox transformation, differentiation and number of components.
Apart from the independent variable hospital, other independent variables included in this model are type of surgery, age, informal care at home, involvement of home care nursing and starting time of surgery.
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The only statistically significant independent variable in the final model was type of surface.
Fixed effects included in the model were type of stall (free or tie), parity and months in milk (MIM).
Because standard errors of the Fine-Gray model are robust (Huber-White type), model selection was guided by information criteria (Akaike information criterion [AIC] and Bayesian information criterion [BIC]).
The frequency dependent model is a type of distributed traveling wave model.
The S-system model is a type of ordinary differential equation (ODE) model.
As outlined in Section 2, an explicit assumption of our model is that Type I response criteria are unbiased.
First multilevel models are a type of mixed-effects model that includes fixed and random effects.
Two types of model are simulated for this scenario.
The total number of elements in the model was 184770 (180450 brick type, 4320 wedge type).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com