A secondary analysis of a cross-sectional survey of 1,156 parents in the Buea Health District, Cameroon, developed and internally validated three models of HPV vaccine hesitancy, in a preprint. Discrimination was comparable across logistic regression, random forest and XGBoost (AUC 0.841-0.870), and logistic regression had the highest sensitivity (73.1%) and lowest Brier score (0.1435). Most predictive weight fell on insufficient vaccine information, perceived unsafety and distrust in the Ministry of Health rather than on sociodemographic variables.
Why it is interesting: Another case of algorithmic complexity buying nothing over logistic regression on tabular survey data, here in a low-resource vaccination setting.