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Adjustment for baseline scores in the analysis of post-randomisation effects was modelled using logistic regression [ 13].
Proportions of cases receiving surgery, radiotherapy and chemotherapy were compared using the chi-square test and modelled using logistic regression.
Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
Fragility analysis is subsequently conducted using curves modelled with log-normal complementary cumulative distribution functions and surfaces modelled using logistic regression.
Data on powerful owls (Ninox strenua) and sooty owls (Tyto tenebricosa) were modelled using logistic regression, and predicted probabilities of occurrence were mapped using GIS.
The chance of dropout was modelled using logistic regression.
Similar(42)
Any-stage AKI and stage-3 AKI were modelled using separate logistic regression models.
Associations between PLT age and outcomes were modelled using multiple logistic regression and linear regression.
The association between PLTs administration and hospital mortality or infection including bacteraemia and/or bacteriuria was modelled using multiple logistic regression.
Data were modelled using multiple logistic regression analysis with adolescents' smoking status as the dependent variable.
Dying in preferred place was modelled using stepwise logistic regression analysis.
More suggestions(15)
modelled using established
modelled using multiple
modelled using quadratic
modelled using fractional
modelled using ordinary
modelled using generalized
modelled using multivariable
modelled using computer-aided
modelled using non-informative
modelled using dichotomous
modelled using discrete
model using logistic
modelled using parametric
modelled using distribution
modelled using logit
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