Flexible modelling in survival analysis. Structuring biological complexity from the information provided by tumor markers

E. Biganzoli, P. Boracchi, M. G. Daidone, M. Gion, E. Marubini

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

The aim of the present article is to introduce and discuss the problem of optimal modelling of the prognostic information provided by putative prognostic variables, possibly measured on a quantitative scale. A number of methodological aspects will be treated, with particular reference to the role of spline functions and artificial neural networks, which will be discussed in the context of the analysis of survival data. The problem of the evaluation and the choice of the optimal statistical models will be examined, with particular attention to the critical aspects related to the definition of prognostic indexes on the basis of the results of the selected models. Clinical examples in breast cancer on the evaluation of the prognostic impact of several tumor markers are provided. This paper is addressed to all researchers who are interested in the evaluation of the prognostic role of tumor markers, therefore we will stress the necessity of integrating the methodologies of biological, clinical and statistical research in the assessment of prognosis.

Original languageEnglish
Pages (from-to)107-123
Number of pages17
JournalInternational Journal of Biological Markers
Volume13
Issue number3
Publication statusPublished - 1998

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Survival Analysis
Tumor Biomarkers
Splines
Statistical Models
Neural networks
Research Personnel
Breast Neoplasms
Research

Keywords

  • Artificial neural networks
  • Spline functions
  • Survival analysis
  • Tumor markers

ASJC Scopus subject areas

  • Immunology
  • Biochemistry

Cite this

Flexible modelling in survival analysis. Structuring biological complexity from the information provided by tumor markers. / Biganzoli, E.; Boracchi, P.; Daidone, M. G.; Gion, M.; Marubini, E.

In: International Journal of Biological Markers, Vol. 13, No. 3, 1998, p. 107-123.

Research output: Contribution to journalArticle

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