---
title: >-
  G-computation for policy-relevant effects of interventions on time-to-event
  outcomes
description: >-
  Explore this publication on real-world evidence: G-computation for
  policy-relevant effects of interventions on time-to-event outcomes..
date: '2020-01-01'
author: Alexander Breskin
category: Publications
tags:
  - University of North Carolina at Chapel Hill
  - International Journal of Epidemiology
  - Approval & Commercialization
  - 'Yes'
  - Health System Partner
  - Oral Presentation
  - Methods/Pharmacoepi
  - R&D
canonical_url: >-
  https://www.headwaterscience.com/resources/publications/acad-university-of-north-carolina-at-chapel-hill/g-computation-for-policy-relevant-effects-of-interventions/
source: Headwater Science
license: © 2026 Headwater Science. All rights reserved.
slug: g-computation-for-policy-relevant-effects-of-interventions
id: 4wBq0iuZJ0zCyjYE82RenR
contentType: article
---

## 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.

## Impact

Providing accessible g-computation guidance for time-to-event outcomes advances practical adoption of this method in Target RWE's analytic toolkit, supporting capability to estimate causal effects of complex interventions for pharma partners with survival endpoint studies.

## Use Cases / Links

G-computation implementation guidance for policy-relevant causal effects on time-to-event outcomes, Advanced causal methods toolkit development supporting pharma partner survival analysis studies