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剂量-反应Meta分析之线性关系及分段线性回归模型的应用 被引量:4

How to Conduct Dose-response Meta-analysis by Using Linear relation and Piecewise Linear Regression Model
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摘要 剂量-反应Meta分析中,探讨自变量与因变量之间的因果关系通常的做法是建立回归模型。经典的模型中需同时考虑线性及非线性趋势。传统的线性模型是基于一次函数的简单模型,而这种模型适用性较差。本文在线性模型基础上,通过引入分段函数,建立分段线性剂量-反应Meta分析模型,很好地弥补了传统线性模型的不足。本文将详细探讨剂量-反应Meta分析中线性及分段线性模型的方法学及应用。 When investing the relationship between independent and dependent variables in dose-response meta- analysis, the common method is to fit a regression function. A well-established model should take both linear and non- linear relationship into consideration. Traditional linear dose-response meta-analysis model showed poor applicability since it was based on simple linear function. We introduced a piecewise linear function into dose-response meta-analysis model which overcame this problem. In this paper, we will give a detailed discussion on traditional linear and piecewise linear regression model in dose-response meta-analysis.
出处 《中国循证医学杂志》 CSCD 2016年第1期111-114,共4页 Chinese Journal of Evidence-based Medicine
关键词 剂量-反应关系 线性预测 分段线性函数 META分析 Dose-response relationship Linear prediction Piecewise linear regression Meta-analysis
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