Predicting treatment effects from observational studies using machine learning methods: A simulation study

Bevan I. Smith, Charles Chimedza

Measuring treatment effects in observational studies is challenging because of confounding bias. Confounding occurs when a variable affects both the treatment and the outcome. Trad…