Cited by 330Advanced Causal Inference TechniquesHealth Policy Implementation ScienceStatistical Methods in Epidemiology

The Use and Interpretation of Quasi-Experimental Studies in Infectious Diseases

Eliopoulos, G. M., Harris, A. D., Bradham, D. D., Baumgarten, M., Zuckerman, I. H., Fink, J. C., Perencevich, E. N.·2004·Clinical Infectious Diseases

Abstract

Quasi-experimental study designs, sometimes called nonrandomized, pre-post-intervention study designs, are ubiquitous in the infectious diseases literature, particularly in the area of interventions aimed at decreasing the spread of antibiotic-resistant bacteria. Little has been written about the benefits and limitations of the quasi-experimental approach. This article outlines a hierarchy of quasi-experimental study design that is applicable to infectious diseases studies and that, if applied, may lead to sounder research and more-convincing causal links between infectious diseases interventions and outcomes.

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Crossref · 10.1086/420936

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Authors
Eliopoulos, G. M., Harris, A. D., Bradham, D. D., Baumgarten, M., Zuckerman, I. H., Fink, J. C., & Perencevich, E. N.
Affiliations
  • University of Maryland, Baltimore (US)
  • University of Maryland Medical System (US)
Corresponding author
Harris, A. D.
Venue
Clinical Infectious Diseases
Published
2004-06-01
Volume
38
Issue
11
Pages
1586-1591
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2171456100
Cited by
330
References
4
Citations by year
2026: 6 · 2025: 11 · 2024: 4 · 2023: 16 · 2022: 23 · 2021: 21 · 2020: 23 · 2019: 11 · 2018: 10 · 2017: 18 · 2016: 18 · 2015: 21 · 2014: 28 · 2013: 23 · 2012: 18
FWCI
10.47
Type
journal article
Language
en
Open access
closed
Locations
  • Clinical Infectious Diseases (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Allergy and Infectious Diseases (K23 AI 01752-01A1, K23AI001752)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
quasi-experimental design, non-randomized studies, causal inference, antibiotic-resistant bacteria, infection prevention interventions
MeSH terms
Communicable Diseases, Humans, Research Design, Randomized Controlled Trials as Topic

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