Home  >>  Archives  >>  Volume 11 Number 1  >>  st0215

The Stata Journal
Volume 11 Number 1: pp. 1-29

Subscribe to the Stata Journal

A procedure to tabulate and plot results after flexible modeling of a quantitative covariate

Nicola Orsini
Division of Nutritional Epidemiology
National Institute of Environmental Medicine
Karolinska Institutet
Stockholm, Sweden
[email protected]
Sander Greenland
Departments of Epidemiology and Statistics
University of California–Los Angeles
Los Angeles, CA
Abstract.  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.
Terms of use     View this article (PDF)

View all articles by these authors: Nicola Orsini, Sander Greenland

View all articles with these keywords: xblc, cubic spline, modeling strategies, logistic regression

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS