G-computation for policy-relevant effects of interventions on time-to-event outcomes.

G-computation for policy-relevant effects of interventions on time-to-event outcomes

Challenge

G-computation is a powerful tool for estimating policy-relevant causal effects of time-varying interventions on time-to-event outcomes, but practical implementation guidance including estimation, variance, and interpretation was not available in an accessible reference.

Solution

Target RWE researchers and UNC collaborators published a methodological paper providing accessible implementation guidance for g-computation applied to policy-relevant causal effects of interventions on time-to-event outcomes.

Use Cases/Links

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