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Fuzzy Logic and Risk Estimators

  • Eduardo Massad
  • Neli Regina Siqueira Ortega
  • Laecio Carvalho de Barros
  • Claudio José Struchiner
Chapter
  • 947 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 232)

Abstract

Epidemiology is concerned with the identification of risk factors for diseases. This process relies on the definition and estimation of measures of association between a putative risk factor and its putative outcome. In order to achieve this end, several measures of association (Kleinbaum et al., 1982) are commonly used, namely the risk ratio (RR), the risk difference (RD), the attributable risk (RA), the odds ratio (OR) and the hazard rate ratio (HR). Some of these measures were introduced in chapter 3 and we revisit their definitions at the beginning of this chapter. Often, the causal pathway between risk factors and disease outcome is translated into statistical models and the measures of association of interest can be estimated as functions of the model parameters.

Keywords

Membership Function Fuzzy Logic Potential Outcome Transmission Probability Risk Estimator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Eduardo Massad
    • 1
  • Neli Regina Siqueira Ortega
    • 1
  • Laecio Carvalho de Barros
    • 2
  • Claudio José Struchiner
    • 3
  1. 1.The University of São Paulo, São PauloBrazil
  2. 2.State University of Campinas, CampinasBrazil
  3. 3.PROCC, Rio de JaneiroBrazil

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