Derives new analytical sample size and power formulas for marginal hazard ratios in causal inference with time-to-event outcomes, applicable to randomized trials and observational studies via IPW estimators.
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Propensity Patchwork Kriging partitions data by propensity score and applies Patchwork Kriging along that dimension to produce continuous, scalable heterogeneous treatment effect estimates.
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Sample size and power calculations for causal inference with time-to-event outcomes
Derives new analytical sample size and power formulas for marginal hazard ratios in causal inference with time-to-event outcomes, applicable to randomized trials and observational studies via IPW estimators.
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Propensity Patchwork Kriging for Scalable Inference on Heterogeneous Treatment Effects
Propensity Patchwork Kriging partitions data by propensity score and applies Patchwork Kriging along that dimension to produce continuous, scalable heterogeneous treatment effect estimates.