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回归分析中的比率变量可能会产生虚假结果:来自牙周病学两项研究的例证。

Ratio variables in regression analysis can give rise to spurious results: illustration from two studies in periodontology.

作者信息

Tu Yu-Kang, Clerehugh Valerie, Gilthorpe Mark S

机构信息

Biostatistics Unit, School of Medicine, University of Leeds, 24 Hyde Terrace, LS2 9LN, Leeds, UK.

出版信息

J Dent. 2004 Feb;32(2):143-51. doi: 10.1016/j.jdent.2003.09.004.

DOI:10.1016/j.jdent.2003.09.004
PMID:14749086
Abstract

OBJECTIVES

For over a century, statisticians have highlighted concerns about the inappropriate use of ratio variables in correlation and regression analysis. However, little attention has been paid to these concerns in medical and dental research. The use of ratio variables in correlation and regression analysis can give rise to spurious results due to inappropriate model specification and mathematical coupling, leading to serious misinterpretation of data and consequently to incorrect study conclusions.

METHODS

Data were reanalysed from two recently published articles: one on the efficacy of guided tissue regeneration on root coverage; the other a randomised controlled trial comparing three surgical approaches in the treatment of periodontal infrabony defects. The reanalysis was performed to examine whether the assumptions behind the correlation/regression analyses have been seriously violated in these two studies, and to see if the interpretation of results is tenable.

RESULTS

Use of ratio variables seriously violated the assumptions underpinning the statistical methods utilised in these two studies, and consequently the conclusions were substantially misleading. Recommendations made in these studies were not tenable.

CONCLUSIONS

The reanalyses illustrate how the inappropriate use of ratio variables remains prevalent in dental research, leading to incorrect interpretation of the evidence. This emphasises the need for collaboration between clinicians and statisticians to avoid the risk of yielding erroneous conclusions from flawed statistical analyses.

摘要

目的

一个多世纪以来,统计学家一直强调对在相关性和回归分析中不当使用比率变量的担忧。然而,在医学和牙科研究中,这些担忧很少受到关注。在相关性和回归分析中使用比率变量可能会由于模型设定不当和数学耦合而产生虚假结果,导致对数据的严重误读,进而得出错误的研究结论。

方法

对最近发表的两篇文章中的数据进行重新分析:一篇关于引导组织再生对牙根覆盖的疗效;另一篇是比较三种手术方法治疗牙周骨下袋缺损的随机对照试验。进行重新分析是为了检查这两项研究中相关性/回归分析背后的假设是否被严重违反,以及结果的解释是否合理。

结果

比率变量的使用严重违反了这两项研究所采用统计方法的基本假设,因此得出的结论具有很大的误导性。这些研究中提出的建议不合理。

结论

重新分析表明,比率变量的不当使用在牙科研究中仍然很普遍,导致对证据的错误解释。这强调了临床医生和统计学家之间合作的必要性,以避免因有缺陷的统计分析而得出错误结论的风险。

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Ratio variables in regression analysis can give rise to spurious results: illustration from two studies in periodontology.回归分析中的比率变量可能会产生虚假结果:来自牙周病学两项研究的例证。
J Dent. 2004 Feb;32(2):143-51. doi: 10.1016/j.jdent.2003.09.004.
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