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

Author

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  • Nicola Orsini

    (Karolinska Institutet)

  • Sander Greenland

    (University of California-Los Angeles)

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.

Suggested Citation

  • Nicola Orsini & Sander Greenland, 2011. "A procedure to tabulate and plot results after flexible modeling of a quantitative covariate," Stata Journal, StataCorp LP, vol. 11(1), pages 1-29, March.
    • Handle: RePEc:tsj:stataj:v:11:y:2011:i:1:p:1-29
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    References listed on IDEAS

    as
    1. Nicola Orsini & Rino Bellocco & Matteo Bottai & Alicja Wolk & Sander Greenland, 2008. "A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies," Stata Journal, StataCorp LP, vol. 8(1), pages 29-48, February.
    2. Patrick Royston & Willi Sauerbrei, 2007. "Multivariable modeling with cubic regression splines: A principled approach," Stata Journal, StataCorp LP, vol. 7(1), pages 45-70, February.
    3. Maarten L. Buis, 2008. "POSTRCSPLINE: Stata module containing post-estimation commands for models using a restricted cubic spline," Statistical Software Components S456928, Boston College Department of Economics, revised 13 Dec 2013.
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