ML models trained on external IFX data can predict counterfactual outcomes for ADA patients, yielding treatment effect estimates aligned with propensity score matching and showing no significant difference between treatments.
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Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study
ML models trained on external IFX data can predict counterfactual outcomes for ADA patients, yielding treatment effect estimates aligned with propensity score matching and showing no significant difference between treatments.