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A multivariable scatterplot smoother

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Author Info

  • Patrick Royston

    ()
    (Cancer Division, MRC Clinical Trials Unit)

  • Nicholas J. Cox

    ()
    (University of Durham, UK)

Abstract

We present an extension of Sasieni, Royston, and Cox’s bivariate smoother running to the multivariable context. The software aims to provide a picture of the relation between a response variable and each of several continu- ous predictors simultaneously. This may be a valuable tool in exploratory data analysis, before constructing a more formal multiple regression model. Copyright 2005 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 5 (2005)
Issue (Month): 3 (September)
Pages: 405-412

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Handle: RePEc:tsj:stataj:v:5:y:2005:i:3:p:405-412

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Related research

Keywords: mrunning; running; scatterplot smoothing; multivariable regression analysis; running line;

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Cited by:
  1. Shepherd, Ben, 2008. "Geographical Diversification of Developing Country Exports," MPRA Paper 11267, University Library of Munich, Germany.
  2. Nicolas Sauter, 2012. "Talking trade: language barriers in intra-Canadian commerce," Empirical Economics, Springer, vol. 42(1), pages 301-323, February.
  3. Ardizzi, Guerino, 2013. "Card versus cash: empirical evidence of the impact of payment card interchange fees on end users’ choice of payment methods," MPRA Paper 48088, University Library of Munich, Germany, revised 25 May 2013.

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