---
title: >-
  Controlling for Differential Regression-To-The-Mean via Propensity Scores: A
  Simulation Study.
description: >-
  Explore this publication on real-world evidence: Controlling for Differential
  Regression-To-The-Mean via Propensity Scores: A Simulation Study..
date: '2023-01-01'
category: Publications
tags:
  - Brookhart MA
  - University of North Carolina at Chapel Hill
  - Yu Y
  - Abstract/Manuscript
  - Latour CD
  - Approval & Commercialization
  - 'Yes'
  - R&D
canonical_url: >-
  https://www.headwaterscience.com/resources/publications/author-brookhart-ma/controlling-for-differential-regression-to-the-mean-via/
source: Headwater
license: © 2026 Headwater. All rights reserved.
slug: controlling-for-differential-regression-to-the-mean-via
id: 2Pno72DD4FnqH7aC565T3c
contentType: article
---

## Challenge

Regression-to-the-mean is a well-known source of bias in before-after treatment comparisons, but whether propensity score methods can effectively control for differential RTM when groups differ in baseline risk had not been rigorously evaluated through simulation.

## Solution

Target RWE researchers conducted a simulation study examining the performance of propensity score methods in controlling for differential regression-to-the-mean, characterizing scenarios where standard PS adjustment succeeds or fails to remove this form of bias.

## Use Cases/Links

[Read the publication](https://www.dovepress.com/controlling-for-differential-regression-to-the-mean-via-propensity-sco-peer-reviewed-fulltext-article-CLEP)