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Future risk of CVD events was modelled, using published risk models based on patient characteristics.
The probability of recurrent CHD in patients with established CHD was estimated for each year modelled using published Framingham risk equations from D'Agostino et al. [ 33].
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We modelled sloth body size evolution using published mass estimates for extinct and extant taxa using a potentially changing normal distribution for log-transformed sloth body mass data (Additional file 1: Table S1).
Modelled survival estimates were adjusted to account for the patient's level of health-related quality of life using published colorectal cancer utility estimates.
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In this study, survival was directly modelled using classification models to optimise prediction accuracy.
Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
CD4 cell count at viral set-point was modelled using linear regression models.
Environmental suitability was modelled using maximum entropy modelling (Maxent), a machine-learning process that uses presence-only data [6].
Any-stage AKI and stage-3 AKI were modelled using separate logistic regression models.
Rate variation among branches was modelled using the uncorrelated lognormal distribution (UCLD) model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com