---
title: >-
  Propensity Score Methods for Confounding Control in Observational Studies of
  Therapeutics for COVID-19 Infection.
description: >-
  Explore this publication on real-world evidence: Propensity Score Methods for
  Confounding Control in Observational Studies of Therapeutics for COVID-19…
date: '2024-01-01'
category: Publications
tags:
  - M Alan Brookhart
  - COVID-19
  - Nuvan Rathnayaka
  - University of North Carolina at Chapel Hill
  - Abstract/Manuscript
  - Kayla Hendrickson
  - Care
  - 'Yes'
  - Kathleen E Hurwitz
  - R&D
canonical_url: >-
  https://www.headwaterscience.com/resources/publications/author-m-alan-brookhart/propensity-score-methods-for-confounding-control-in/
source: Headwater
license: © 2026 Headwater. All rights reserved.
slug: propensity-score-methods-for-confounding-control-in
id: 58qwr1lyvM4p0g5Mb7NlBW
contentType: article
---

## Challenge

Standard propensity score methods estimate treatment effects in populations defined by overlap between treatment groups, restricting inference to a subpopulation that may not reflect the full clinically relevant population—a critical limitation in COVID-19 observational research.

## Solution

Target RWE researchers published a methodological analysis demonstrating how IPTW and other propensity score variants differ in the population to which they generalize, using COVID-19 therapeutic observational studies as illustrative examples.

## Use Cases/Links

[Read the publication](https://academic.oup.com/cid/article/79/Supplement_4/S131/7824252)