Duleba A J, Olive D L
Department of Obstetrics & Gynaecology, Yale University School of Medicine, New Haven, Connecticut 06520-8063, USA.
Semin Reprod Endocrinol. 1996 May;14(2):139-53. doi: 10.1055/s-2007-1016322.
Proper evaluation of data does not necessarily require the use of advanced statistical methods; however, such advanced tools offer the researcher the freedom to evaluate more complex hypotheses. This overview of regression analysis and multivariate statistics describes general concepts. Basic definitions and conventions are reviewed. The types of regression analysis are then discussed, including simple regression, multiple regression, multivariate multiple regression, and logistic regression. The various steps required to perform these analyses are described, and the advantages and disadvantages of each is detailed.
对数据进行恰当评估并不一定需要使用先进的统计方法；然而，这些先进工具为研究人员提供了评估更复杂假设的自由。本回归分析和多元统计概述描述了一般概念。回顾了基本定义和惯例。接着讨论了回归分析的类型，包括简单回归、多元回归、多元多重回归和逻辑回归。描述了进行这些分析所需的各个步骤，并详细阐述了每种方法的优缺点。
