期刊
CLINICAL INFECTIOUS DISEASES
卷 45, 期 7, 页码 901-907出版社
OXFORD UNIV PRESS INC
DOI: 10.1086/521255
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资金
- NCRR NIH HHS [1K12RR023250-01] Funding Source: Medline
- NIAID NIH HHS [1 R01 AI6085901A1] Funding Source: Medline
- NIA NIH HHS [R37 AG09901, P60 AG12583, P30 AG028747-01] Funding Source: Medline
- NCPDCID CDC HHS [1 R01 CI000369-01] Funding Source: Medline
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.
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