Uma Avaliação do Uso de um Modelo Contínuo na Análise de Dados Discretos de Sobrevivência

Authors

  • E.Y. Nakano
  • C.G. Carrasco

DOI:

https://doi.org/10.5540/tema.2006.07.01.0091

Abstract

Propomos neste trabalho uma comparação dos resultados de análises de dados de sobrevivência utilizando dois modelos equivalentes, sendo um contínuo e outro discreto. Diz-se “modelos equivalentes” pois será utilizado um modelo cuja formulação original é contínua e através deste modelo, será gerado um modelo discreto correspondente.

References

[1] J.D. Kalbfleisch e R.L. Prentice, “The Statistical Analysis of Failure Time Data”, John Wiley & Sons, New York, 1980.

E.L. Kaplan e P. Meier, Nonparametric estimation from incomplete observations,J. Am. Stat. Assoc., 53 (1958), 457-481.

M.G. Kendall e A. Stuart, “The Advanced Theory of Statistics”, Griffin, London, 2 ed., 1968.

J.F. Lawless, “Statistical Models and Methods for Lifetime Data”, John Wiley & Sons, New York, 1982.

M.A. Stephens, EDF statistics for goodness of fit and some comparisons, J. Am. Stat. Assoc., 69 (1974), 730-737.

C. Tietze, Fertility after discontinuation of intrauterine and oral contraception, International Journal of Fertility, 31 (1968), 385-389.

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Published

2006-06-01

How to Cite

Nakano, E., & Carrasco, C. (2006). Uma Avaliação do Uso de um Modelo Contínuo na Análise de Dados Discretos de Sobrevivência. Trends in Computational and Applied Mathematics, 7(1), 91–100. https://doi.org/10.5540/tema.2006.07.01.0091

Issue

Vol. 7 No. 1 (2006)

Section

Original Article

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