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The Seven Deadly Sins of Statistical Analysis

 

作者: William Kuzon,   Melanie Urbanchek,   Steven McCabe,  

 

期刊: Annals of Plastic Surgery  (OVID Available online 1996)
卷期: Volume 37, issue 3  

页码: 265-272

 

ISSN:0148-7043

 

年代: 1996

 

出版商: OVID

 

数据来源: OVID

 

摘要:

In a pedantic but playful way, we discuss some common errors in the use of statistical analysis that are regularly observed in our professional plastic surgical literature. The seven errors we discuss are (1) the use of parametric analysis of ordinal data; (2) the inappropriate use of parametric analysis in general; (3) the failure to consider the possibility of committing type II statistical error; (4) the use of unmodified t-tests for multiple comparisons; (5) the failure to employ analysis of covariance, multivariate regression, nonlinear regression, and logistical regression when indicated; (6) the habit of reporting standard error instead of standard deviation; and (7) the underuse or overuse of statistical consultation. Confidence and common sense are advocated as a means to balance statistical significance with clinical importance.

 

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