Application of restricted cubic splines in clinical research data analysis
In clinical research,it is often necessary to construct regression models to analyze the relationship between independent variables and dependent variables.However,most regression models require a linear association of the independent variables with the dependent variable.When the independent variable and the dependent variable do not satisfy these conditions,transforming continuous variables into categorical variables will result in the loss of some information and may introduce new biases.Therefore,in this case,it is necessary to construct a spline regression to directly fit the nonlinear relationship between the independent variable and the dependent variable,and a common method for this analysis is the restricted cubic spline.This article starts with the concept of how to apply a restricted cubic spline to fit the nonlinear relationship between the independent variable and the dependent variable when analyzing clinical research data,so as to provide reference for clinical medical personnel to conduct clinical research.
restricted cubic splinenonlinearthe R programming language
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