title: Survival analysis for clinical studies.
abstract: OBJECTIVE
  This paper focuses on the use of censored data in survival analysis. Survival analysis is used most frequently in the case of cancer patients when the study is finished and a number of individuals are still alive. The original article cited was declared recently to be the most cited statistical study in the biomedical area. The goal of this paper is to explain the basic principles and methods involved. The way survival analysis processes data and interprets outputs is presented using the clinical data of oncological patients.
  
  
  RESULTS
  Survival analysis is used to estimate survivor function from survival data, to compare survivor functions and to assess the relationship of explanatory variables to survival time. These methods were applied to the data of 176 patients with hemato-oncological diagnoses who had undergone bone marrow blood transplant.
  
  
  CONCLUSIONS
  It is very important to use appropriate methods when processing statistical data. Standard statistical procedures used for incomplete data could not provide the correct estimation.
authors.affiliation: Department of Medical Biophysics, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic. langova@tunw.upol.cz
authors.forename: Katerina
authors.initials: K
authors.lastname: Langova
mesh_terms: D002986:Clinical Trials as Topic; D006801:Humans; D009369:Neoplasms / Q000628:therapy; D016016:Proportional Hazards Models; D016019:Survival Analysis