---
title: >-
  Assessing artificial censoring weights for clone censor weighting studies: A
  simulation-based approach.
description: >-
  Explore this publication on real-world evidence: Assessing artificial
  censoring weights for clone censor weighting studies: A simulation-based
  approach..
date: '2025-01-01'
category: Publications
tags:
  - ISPE
  - Poster Presentation
  - David Pritchard
  - Approval & Commercialization
  - 'Yes'
  - R&D
canonical_url: >-
  https://www.headwaterscience.com/resources/publications/ispe/assessing-artificial-censoring-weights-for-clone-censor/
source: Headwater
license: © 2026 Headwater. All rights reserved.
slug: assessing-artificial-censoring-weights-for-clone-censor
id: 59K8XRKsRKlEjlugiZnZkD
contentType: article
---

## Challenge

Clone-censor-weight studies require estimation of artificial censoring weights, but no simulation-based framework existed for evaluating the performance of different censoring weight estimation approaches.

## Solution

Target RWE biostatisticians developed a simulation framework to assess artificial censoring weight estimation methods for CCW studies, demonstrating that Cox proportional hazards-based estimation substantially outperforms logistic regression.

## Use Cases/Links

[Read the publication](https://www.targetrwe.com/media/2478/2025-08-21-icpe-ccw-simulations.pdf)