Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data explores A new method for estimating subject-specific treatment effects on time-to-event outcomes, improving accuracy and revealing temporal patterns in clinical data.. Commercial viability score: 4/10 in Causal Inference.
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