TITLE

Statistical Analysis and Application of Quasi Experiments to Antimicrobial Resistance Intervention Studies

AUTHOR(S)
Shardell, Michelle; Harris, Anthony D.; El-Kamary, Samer S.; Furuno, Jon P.; Miller, Ram R.; Perencevich, Eli N.
PUB. DATE
October 2007
SOURCE
Clinical Infectious Diseases;10/1/2007, Vol. 45 Issue 7, p901
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Quasi-experimental study designs are frequently used to assess interventions that aim to limit the emergence of antimicrobial-resistant pathogens. However, previous studies using these designs have often used suboptimal statistical methods, which may result in researchers making spurious conclusions. Methods used to analyze quasi-experimental data include 2-group tests, regression analysis, and time-series analysis, and they all have specific assumptions, data requirements, strengths, and limitations. An example of a hospital-based intervention to reduce methicillin-resistant Staphylococcus aureus infection rates and reduce overall length of stay is used to explore these methods.
ACCESSION #
26772605

 

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