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URL: http://rjms.iums.ac.ir/article-1-3784-en.html
Background:
Identification of the factors
influencing short term and long term survival for patients is one of the
important concerns in medical society. With determining the risk factors and
also health factors of a disease, valuable information can be obtained. In some
cases, such as high rate of censoring, the use of standard survival models for
analysis may cause to loss in some of information. The purpose of this study was
to apply the cure models in identifying the risk and health factors of patients’
thalassemia major.
Methods: The
data of this historical cohort study with 296 patients with thalassemia major,
were gathered during 1994- 2013 in Zafar Clinic in Tehran. Cure models were used
for survival
analysis of these patients and determination of its risk
factors. Data were analyzed using Stata v.12 and R3.0.2 software.
Results:
Mean (±SD) of patients’ age was 29.11 ± 0.47year. Of the patients, 51.7% were
women. . The minimum value of Akaike information criterion was for cure non mixture
log – normal model with logit link function.
Conclusion:
According to the results, the cure non mixture log – normal models is chosen as
the best model for identification the risk factors of thalassemia major disease.
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