Publication | Open Access
A Procedure to Tabulate and Plot Results after Flexible Modeling of a Quantitative Covariate
316
Citations
15
References
2011
Year
Physical ActivityHealth OutcomeRegression AnalysisHealth PsychologyStatistical AnalysisManagementFlexible ModelsExploratory Data AnalysisBiostatisticsPublic HealthStatistical ModelingStatisticsMedical StatisticQuantitative CovariateLatent Variable ModelFunctional Data AnalysisPhysical TherapyPlot ResultsCubic SplinesGraphical AnalysisFlexible ModelingStatistical InferenceMultivariate AnalysisData Modeling
The use of flexible models for the relationship between a quantitative covariate and the response variable can be limited by the difficulty in interpreting the regression coefficients. In this article, we present a new postestimation command, xblc, that facilitates tabular and graphical presentation of these relationships. Cubic splines are given special emphasis. We illustrate the command through several worked examples using data from a large study of Swedish men on the relation between physical activity and the occurrence of lower urinary tract symptoms.
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