Cox Regresyon Modeli ve Akciğer Kanseri Verileri İle Bir Uygulama

Tıpta, salgın hastalıklara ve kronik hastalıklara ilişkin verilerin incelenmesi ve bu hastalıkları etkileyen faktörlerin saptanması için yaşam çözümlemesinde Cox regresyon modeli oldukça önemlidir. Bu çalışmada, Cox regresyon modeli tanıtılmış ve bu model kullanılarak akciğer kanserinde nüksü etkileyen risk faktörleri belirlenmiştir

Cox regressiom model and an application to lıng anser data

In medical science, in investigating the survival data of epidemic diseases and chronic diseases and determining the factors which affects these diseases, Cox regression model for survival analysis has gained widespread attention. In this paper, Cox regression model is presented and using this model risk factors affecting relapse  of  lung cancer is determined.

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  • Collate, D. (1994), Modelling Survival Data in Medical Research, Chapman and Hall, London.
  • Cox, D. R. (1972), Regression Models and Life Tables, Journal of Royal Statistical Society, 34, 187-202.
  • Cox, D. R. and Oakes, D. (1984), Analysis of Survival Data, Chapman and Hall, London.
  • Johnson, R.E. and Johnson, N. (1980), Survival models and data analysis, John Wiley and Sons, New York.
  • Kalbfleisch, J. D. and Prentice, R. L. (1973), Marjinal Likelihoods Based on Cox’s
  • Regression and Life Model, Biometrika, 60, 267-279. Kaplan, E. L. and Meier, P. (1958), Nonparametric Estimation From Incomplete
  • Observations, Journal of the American Statistical Association, 53, 457-481. Lawless, J. F. (1982), Statistical Models and Methods for Lifetime Data, John Wiley and Sons, New York.
  • Peterson, A.P. (1977), Expressing the Kaplan-Meier estimator as a function of empirical survival functions, J.
  • Amer. Statist. Assoc., 72, 854-858. Prentice, R.L. (1973), Exponential survival with censoring and explanatory variables, Biometrika, 61, 539-544.