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Longitudinal Analysis of Short-Term Bronchiolitis Air Pollution Association Using Semiparametric Models

  • Sylvie Willems
  • Claire Segala
  • Manuel Maidenberg
  • Mounir Mesbah
Part of the Statistics for Industry and Technology book series (SIT)

Abstract

The first aim of this work is to clearly present a very popular semiparametric methodology often used to estimate the association between death or hospital counting data and pollution data and to estimate short-term effects of ambient air pollution on infant bronchiolitis hospital consultations. Infant bronchiolitis is a frequent infectious disease caused by a virus, the syncethial respiratory virus (RSV). Normally, contact with this virus is responsible for a cold, but in infant and in some circumstances, especially at the beginning of winter, the virus can be responsible for a severe respiratory disease which can lead to numerous hospital consultations and hospitalizations. A critical comparison of its practical application using S-Plus, R, or SAS Proc Gam is performed. It appears that more work is needed to get a satisfactory implementation of the Schwartz method in SAS with similar results to those in S-Plus or R.

Keywords and phrases

GAM model air pollution semiparametric models 

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Copyright information

© Birkhäuser Boston 2007

Authors and Affiliations

  • Sylvie Willems
    • 1
  • Claire Segala
    • 1
  • Manuel Maidenberg
    • 2
  • Mounir Mesbah
    • 3
  1. 1.SEPIA-SANTEMelrandFrance
  2. 2.RESPIRERParisFrance
  3. 3.LSTAUniversité de Pierre et Marie CurieParisFrance

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