Journal article
Statistical analysis and application of quasi experiments to antimicrobial resistance intervention studies
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, Vol.45(7), pp.901-907
10/01/2007
DOI: 10.1086/521255
PMID: 17806059
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.
Details
- Title: Subtitle
- Statistical analysis and application of quasi experiments to antimicrobial resistance intervention studies
- Creators
- Michelle Shardell - Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USAAnthony D HarrisSamer S El-KamaryJon P FurunoRam R MillerEli N Perencevich
- Resource Type
- Journal article
- Publication Details
- Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, Vol.45(7), pp.901-907
- DOI
- 10.1086/521255
- PMID
- 17806059
- NLM abbreviation
- Clin Infect Dis
- ISSN
- 1058-4838
- eISSN
- 1537-6591
- Publisher
- United States
- Grant note
- R37 AG09901 / NIA NIH HHS P30 AG028747-01 / NIA NIH HHS P60 AG12583 / NIA NIH HHS 1 R01 CI000369-01 / NCPDCID CDC HHS 1K12RR023250-01 / NCRR NIH HHS 1 R01 AI6085901A1 / NIAID NIH HHS
- Language
- English
- Date published
- 10/01/2007
- Academic Unit
- Epidemiology; Internal Medicine
- Record Identifier
- 9983779295702771
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