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- W4328049481 abstract "Many real-life treatments are of limited supply and cannot be provided to all individuals in the population. For example, patients on the liver transplant waiting list usually cannot be assigned a liver transplant immediately at the time they reach highest priority because a suitable organ is not immediately available. In settings with limited supply, investigators are often interested in the effects of treatment strategies in which a limited proportion of patients receive an organ at a given time, that is, treatment regimes satisfying resource constraints. Here, we describe an estimand that allows us to define causal effects of treatment strategies that satisfy resource constraints: incremental propensity score interventions (IPSIs) for limited resources. IPSIs flexibly constrain time-varying resource utilization through proportional scaling of patients' natural propensities for treatment, thereby preserving existing propensity rank ordering compared to the status quo. We derive a simple class of inverse-probability-weighted estimators, and we apply one such estimator to evaluate the effect of restricting or expanding utilization of increased risk liver organs to treat patients with end-stage liver disease." @default.
- W4328049481 created "2023-03-22" @default.
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- W4328049481 date "2023-04-09" @default.
- W4328049481 modified "2023-10-16" @default.
- W4328049481 title "Longitudinal incremental propensity score interventions for limited resource settings" @default.
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- W4328049481 doi "https://doi.org/10.1111/biom.13859" @default.
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