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This type of equations describe interesting phenomena such as transport models [46] or population models with age distribution [47].
Then such diseases are described more precisely by means of the so-called compartmental models with age structure [15].
The number of independent variables in each model ranged from two to five for the models without age and three to five for the models with age.
Expressed as a percentage of the RMSE for models without age, the RMSE for models with age averaged 94.5 % (range 88.2 98.8 %) for parametric models and averaged 101.0 % (range 93.2 107.0 %) for non-parametric models.
WC in 1993 97 was included as restricted cubic splines (3 knots) [38] in models with age in 1999 02 and years between examinations.
Incidence rates of hospitalisation were also compared in Cox models with age as the underlying time providing incidence rate ratios (IRR) with 95% CI.
The DWC was included as restricted cubic splines (3 knots) [38] in models with age in 1999 02, years between examinations and WC in 1993 97.
Presence of FMc was treated as a binary outcome in logistic regression models, with age at diagnosis and various disease characteristics as the predictors.
We analyzed data using Cox proportional hazard models with age as the underlying time scale.
All comorbidity indices improved model fit over models with age and injuries sustained alone.
increase in 2D:4D measures were obtained from Weibull models with age as the time axis.
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