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慢性病学研究中,经常需要了解疾病发生的危险因素,如糖尿病的发生有哪些危险因素,如果了解这些危险因素,就可以有针对性地采用预防措施。对于这类研究目的,最有力的工具莫过于回归分析。回归分析主要用于探索因变量(即结局变量)是如何依赖自变量(即预测变量,通常是各种危险因素)的变化而变化的,其主要用途有:寻找某疾病的危险因素有哪些,确定不同危险因素的相对重要性等。线性回归是整个回归分析类方法中最经典的方
It is often necessary to understand the risk factors for developing a disease, such as the risk factors for the development of diabetes, and the targeted prevention measures if these risk factors are known. The most powerful tool for such research purposes is regression analysis. Regression analysis is mainly used to explore how dependent variables (ie, outcome variables) depend on changes in independent variables (ie, predictor variables, usually various risk factors), and their main uses are: what are the risk factors for finding a disease, Determine the relative importance of different risk factors. Linear regression is the most classic method of regression analysis