Statistical analysis and application of quasi experiments to antimicrobial resistance intervention studies
Statistical analysis and application of quasi experiments to antimicrobial resistance intervention studies
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DOI：
10.1086/521255
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发表时间：
2007-10-01
影响因子：
11.8
通讯作者：
Perencevich, Eli N.
中科院分区：
文献类型：
--
作者：
Shardell, Michelle;Harris, Anthony D.;Perencevich, Eli N.
准实验研究设计经常用于评估旨在限制抗菌药物耐药病原体出现的干预措施。然而，以前使用这些设计的研究经常使用次优的统计方法，这可能导致研究人员得出虚假的结论。用于分析准实验数据的方法包括两组检验、回归分析和时间序列分析，它们都有特定的假设、数据要求、优点和局限性。以降低耐甲氧西林金黄色葡萄球菌感染率和缩短总住院时间的医院干预为例来探索这些方法。
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.