Computer methods and programs in biomedicineHumansPrecision MedicineComputer SimulationTreatment OutcomeAlgorithms
Random forests for individual treatment effect estimation with the R package ITERF.
Sami Tabib, Denis Larocque
Published: 202610.1016/j.cmpb.2025.109187
Abstract
BACKGROUND AND OBJECTIVES: Treatment effects often vary across individuals within a population. In contexts such as personalized medicine, it is crucial to accurately estimate treatment effects at the individual level. Random forests are among the mo…
Preview only. Read the full abstract at the source