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

Nicola Orsini and Sander Greenland
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Sander Greenland: University of California-Los Angeles

Stata Journal, 2011, vol. 11, issue 1, 1-29

Abstract: The use of flexible models for the relationship between a quantitative covariate and the response variable can be limited by the difficulty in interpret- ing 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. Copyright 2011 by StataCorp LP.

Keywords: xblc; cubic spline; modeling strategies; logistic regression (search for similar items in EconPapers)
Date: 2011
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