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面向病理学家的多元统计分析。第一部分,逻辑模型。

Multivariate statistical analysis for pathologist. Part I, The logistic model.

作者信息

Vollmer R T

机构信息

Department of Laboratory Medicine, VA Medical Center, Durham, NC 27705, USA.

出版信息

Am J Clin Pathol. 1996 Jan;105(1):115-26. doi: 10.1093/ajcp/105.1.115.

DOI:10.1093/ajcp/105.1.115
PMID:8561077
Abstract

This paper reviews concepts of multivariate statistical modeling via the logistic regression model, which has become very popular for modeling the relationship between a positive clinical outcome and a variety of predictor variables. The process is illustrated using a composite of data from three large prostate specific antigen based screening studies of prostate cancer.

摘要

本文通过逻辑回归模型回顾了多元统计建模的概念,该模型在对阳性临床结果与各种预测变量之间的关系进行建模方面已变得非常流行。使用来自三项基于前列腺特异性抗原的大型前列腺癌筛查研究的数据组合来说明这一过程。

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Multivariate statistical analysis for pathologist. Part I, The logistic model.面向病理学家的多元统计分析。第一部分,逻辑模型。
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