Inferring a latent prognostic factor U from restricted mean survival time discrepancies and balancing it with observed covariates reduces unobserved confounding and brings observational survival estimates closer to randomized trial results.
Hainmueller, Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies, Political analysis 20 (1) (2012) 25–46
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Observing the unobserved confounding through its effects: toward randomized trial-like estimates from real-world survival data
Inferring a latent prognostic factor U from restricted mean survival time discrepancies and balancing it with observed covariates reduces unobserved confounding and brings observational survival estimates closer to randomized trial results.