Statistical Modelling

At the national level, predictive models are expected to improve diagnostic efficiency, rational antimicrobial use, and public health policy. Globally, predictive models are framed as tools for reducing disease burden and economic costs. Race was not significantly associated with multiarterial grafting receipt after adjustment. The primary outcome was receipt of multiarterial grafting during isolated CABG. Internal validation will use 1000 bootstrap resamples combined with 10-fold cross-validation. The fitted models were supported by decreasing log-likelihood values and p values below 0.001. Candidate predictors will include prespecified clinical, psychosocial, and biomarker variables. The primary predictive model will use elastic-net regularised logistic regression for stable or improved HRQoL. The study used hierarchical logistic regression to model predictors of multiarterial grafting. Missing variables presumed missing at random will be handled with multiple imputation by chained equations if missingness exceeds 5%. Penalty parameters will be chosen by repeated cross-validation after predictor standardisation. Sex-by-year and DCI-by-year interactions were tested to evaluate wh…