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Factors associated with mortality were assessed using multivariate logistic model.
The interaction term was included in a multivariate logistic model adjusting for design variables in the TTM-trial.
The double-hurdle model for the volume of alcohol consumption and the multivariate logistic model for heavy episodic drinking were estimated.
Data were analysed by a multivariate logistic model.
These were entered into the multivariate logistic model.
Factors associated with inclusion at alpha < 5% remained in the final multivariate logistic model.
Variables with a p-value < 0.10 were included in a multivariate logistic model.
A univariate analysis was performed and a multivariate logistic model was fitted to the two panels.
The multivariate logistic model was examined extensively to evaluate overall model fit and any assumptions.
* Estimates of the relative rate (OR - Odds Ratio) were obtained from multivariate logistic model.
We used LASSO to fit a multivariate logistic model with penalty on the magnitude of coefficients.
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