LINCHECK: Stata module to graphically assess the linearity of a continuous covariate in a regression model

Alex Gamma ()
Additional contact information
Alex Gamma: University of Zurich

Statistical Software Components from Boston College Department of Economics

Abstract: lincheck provides a quick-and-dirty check of whether a continuous covariate in a general linearized model (GLM) is linear in the link function. lincheck makes a new categorical variable that breaks the continuous covariate into quartiles, then re-estimates the GLM using dummy variables for the quartiles, and finally provides a graph of estimated coefficients plotted against the midpoints of the quartiles. A linear graph supports the assumption of linearity of the continuous covariate. lincheck works with most GLM commands such as regress, logit/logistic, probit, poisson, stcox etc. and their svy-versions.

Language: Stata
Requires: Stata version 8
Keywords: linearity; regression; graphics (search for similar items in EconPapers)
Date: 2005-02-28
Note: This module should be installed from within Stata by typing "ssc install lincheck". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/l/lincheck.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lincheck.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s449401

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().