Model Development Methods
Cross-source consensus on Model Development Methods from 1 sources and 5 claims.
1 sources · 5 claims
Preparation
Risks & contraindications
Evidence quality
Highlighted claims
- Predictors for future paediatric IFI models should be available at or before diagnosis. — Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children
- Bootstrapping, k-fold cross-validation, and shrinkage methods such as penalised regression, Ridge regression, and Lasso regression are recommended overfitting controls. — Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children
- Complete case analysis is discouraged for missing data in medical studies because excluding incomplete records can reduce sample size and distort associations. — Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children
- Univariate screening based only on statistical significance is not recommended for candidate predictor selection. — Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children
- Low events per variable was a major concern because paediatric IFI is rare and large samples are difficult to recruit. — Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children