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One Patient, Two Patient, Three Patient, Four - When Patients Are Counted, But Not Accounted For: Pseudoreplication In Medicine

机译:一名患者,两名患者,三名患者,四次 - 当患者计数时,但没有占:医学中的假期术语

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Background: Pseudoreplication is a statistical error occurring when treatments are not replicated or replicates are not statistically independent. Description and explanation of pseudoreplication is absent from medical literature. There are four types of pseudoreplication: simple, temporal, implicit, and pooling. Methods: The present article reviews the occurrence of type I errors caused by pseudoreplication in prominent medical journals. Fifty articles, ten randomly chosen from five prominent journals: JAMA, BMJ, The New England Journal of Medicine, The Lancet, and The Annals of Internal Medicine, were analyzed for the occurrence of pseudoreplication, and in particular which statistical comparison was utilized most resulting in this error. The unit of analysis was the article for group assessments and the statistical test within each article for comparisons. Multivariate analyses were carried out to determine the correlation of pseudoreplication type with parameters in the manuscript. Results: A total of 1,294 statistical comparisons of different hypotheses were assessed, averaging 25.9 (SE=4.2) per article. Pseudoreplication occurred an average of 37.38% (SE=5.0) per statistic utilized in studies. Temporal pseudoreplication occurred most frequently. Temporal and implicit pseudoreplication were significantly related to the first statistic (F=3.45, df=6,43, P<0.007 and F=5.32, df=6,43, P<0.0004, respectively) and simple pseudoreplication was significantly related to the second statistic utilized, F=2.81, df=5,44, P<0.03. The number of M.D.'s on a study was significantly related to pseudoreplication as determined by Roy's Largest Root = 1.2, F=2.18, df=13,23, P<0.05. Conclusions: Pseudoreplication is a serious statistical problem related to the improper implementation and analysis of statistics. Physicians and medical scientists need to be cognizant of the manner in which the error occurs to prevent Type I error.
机译:背景:伪络件是当处理未复制或复制的处理时发生的统计误差在统计上无关。缺乏医学文献的描述和解释。有四种类型的假术:简单,时间,隐式和池。方法:本文审查了突出的医学期刊中伪术语造成的I型错误的发生。五十篇文章,10个随机选自五个突出的期刊:Jama,BMJ,新英格兰医学杂志,柳叶服和内科的古代医学杂志,尤其是统计比较最多在这个错误中。分析单位是组分评估的物品和每篇文章中的统计测试进行比较。进行多变量分析以确定伪术语型与稿件中的参数的相关性。结果:每篇文章评估总共1,294个不同假设的统计比较,平均25.9(SE = 4.2)。伪局部在研究中平均出现平均每种统计统计学的37.38%(SE = 5.0)。时间伪申报最常发生。时间和隐式伪术语与第一个统计(F = 3.45,DF = 6,43,P <0.007和F = 5.32,DF = 6,43,P <0.04,P <0.0004)显着相关)和简单的伪术语与该统计值显着相关利用第二个统计,F = 2.81,DF = 5,44,P <0.03。在研究中的M.D的数量与罗伊最大root = 1.2,F = 2.18,DF = 13,23,P <0.05确定的假期术语显着相关。结论:伪杂志是与统计数据不当和分析不当有关的严重统计问题。医生和医学科学家需要认识到发生错误以防止I型错误的方式。

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