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Covariates were modelled using continuous or categorical variables after assessing assumptions regarding linearity and assessing the ease of interpretation.
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In this approach, the property variations of cutting tools and rock are modelled using probability theory, the continuous rock cutting process is discretized, and the failure risk of cutting tools is estimated based on reliability theory.
The additional influx is modelled using a built-in continuous function to simulate a step function.
In these multivariable models, continuous variables were modelled using restricted cubic smoothing splines with five knots to relax the assumption that continuous variables were linearly related to the mortality [ 33].
All categorical predictors were modelled using dummy variables, while all continuous predictors were modelled using restricted quadratic splines (Greenland, 1995) based on 2 knots for the tertiles to relax linearity assumptions.
Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
Mortality rates were modelled using Poisson regression model in which age and period midpoints were used as continuous independent variables, number of deaths as dependent variable, and logarithmic follow-up time in person years as offset.
CD4 cell count at viral set-point was modelled using linear regression models.
Continuous predictors will be flexibly modelled using restricted cubic splines, that is, piecewise cubic functions that are smooth at the knots and restricted to be linear in the tails.
Continuous variables (age and ICNARC Physiology Score) were modelled using restricted cubic splines to allow for a flexible, nonlinear relationship between variables [ 21].
The residence time distribution of the continuous phase in reciprocating plate columns is experimentally investigated for gas-liquid and liquid-liquid systems and modelled using Gamma function extension of the ideal-stage cascade model.
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