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Incremental effects and costs between groups will be modelled using generalized linear models.
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Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
The channels are modelled using the pathloss model reported in [11].
CD4 cell count at viral set-point was modelled using linear regression models.
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Rate variation among branches was modelled using the uncorrelated lognormal distribution (UCLD) model.
The track is modelled using finite elements.
The experiments were modelled using the reactive transport code OpenGeosys-GEM.
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The hydraulic conductivity data were modelled using multiple linear regression.
The motor was modelled using multiple regression analysis.
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