---
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'
author: David Pritchard
category: Publications
tags:
  - ISPE
  - Poster Presentation
  - Approval & Commercialization
  - 'Yes'
  - Methods/Pharmacoepi
  - R&D
canonical_url: >-
  https://www.headwaterscience.com/resources/publications/ispe/assessing-artificial-censoring-weights-for-clone-censor/
source: Headwater Science
license: © 2026 Headwater Science. 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.

## Impact

Establishing Cox-based censoring weight estimation as the preferred approach provides Target RWE with a validated analytic standard, ensuring that CCW studies are built on methodologically sound foundations.

## Use Cases / Links

Censoring weight estimation validation for clone-censor-weight study design in pharma partner programs, Simulation-based methodological guidance for CCW implementation in complex treatment protocol analysis