Text Mining Describes the use of Statistical and Epidemiological Methods in Published Medical Research.
Journal of Clinical Epidemiology(2016)
摘要
To describe trends in the use of statistical and epidemiological methods in the medical literature over the past two decades.We obtained all 1,028,786 manuscripts from the PubMed Central Open Access archive (retrieved May 9, 2015). We focused on 113,450 medical research manuscripts. A Delphi panel identified 177 statistical/epidemiological methods pertinent to clinical researchers. We used a text mining approach to determine if a specific statistical/epidemiological method was encountered in a given manuscript. We report the proportion of manuscripts using a specific method for the entire cross-sectional sample and also stratified into three blocks of time (1995-2005; 2006-2010; 2011-2015).Numeric descriptive statistics were commonplace (96.4% manuscripts). Other frequently encountered methods groups included: statistical inferential concepts (52.9% manuscripts), epidemiological measures of association (53.5% manuscripts) methods for diagnostic/classification accuracy (40.1% manuscripts), hypothesis testing (28.8% manuscripts), ANOVA (23.2% manuscripts) and regression (22.6% manuscripts). We observed relative percent increases in the use of: regression (103.0%), missing data methods (217.9%), survival analysis (147.6%) and correlated data analysis (192.2%).This study identified commonly employed and emergent methods used to investigate medical research problems. Clinical researchers must be aware of the methodological landscape in their field, as statistical/epidemiological methods underpin research claims.
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关键词
Statistical methods,Epidemiological methods,Text mining,Bibliometrics,PubMed,Medical research
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