research

Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology

Extreme gradient boosting modelOur study focused on tuning the hyper-parameters of an extreme gradient boosting model for predicting a binary...

Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study | BMC Medical Research Methodology

Trial SummaryWe used data from the VANISH trial, which was a 2 × 2 factorial trial including 408 randomised patients which compared...