Objective: This study was designed to demonstrate that one of the multivariate statistical methods, homogeneity analysis, can be used for survival data.
Material and Method: If there are more than two variables, the relation between the the characteristics of patients can be examined by homogeneity analysis instead of chi-square analysis. The characteristics of lung cancer patients whose disease had relapsed has been tried to be determined.
Results: Disease of individuals who are younger than 59, have cigarette consumption less then 30 package year, have pathological stage I and have a tumour whose dimension is smaller than 40mm does not relapse whereas disease of individuals who are older than 60, have cigarette consumption higher then 31 package year, have pathological stage II, III or IV and have a tumour whose dimension is higher than 41mm relapse.
Conclusion: It is concluded that interpretations about the survival of individuals can be done by homogeneity analysis.
Key Words: Lung cancer, Homogeneity analysis, Survival data.
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