Volume 12, Number 3 (Vol 12, No 3 2016)                   irje 2016, 12(3): 56-63 | Back to browse issues page


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Ali Akbari Khoei R, Bakhshi E, Azarkeivan A, Biglarian A. Bootstrap and Jackknife Resampling Methods in Survival Analysis of Patients with Thalassemia Major . irje. 2016; 12 (3) :56-63
URL: http://irje.tums.ac.ir/article-1-5539-en.html

1- MSc in Biostatistics, Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran MSc in Biostatistics, Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
2- Associate Professor, Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran Associate Professor, Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
3- Associate Professor, Pediatric Hematology Oncology, Iranian Blood Transfusion Organization (IBTO) – High Institute for Research and Education in Transfusion Medicine, Thalassemia Clinic,Tehran, Iran Associate Professor, Pediatric Hematology Oncology, Iranian Blood Transfusion Organization (IBTO) – High Institute for Research and Education in Transfusion Medicine, Thalassemia Clinic,Tehran, Iran
4- Associate Professor, Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran Associate Professor, Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran , abiglarian@uswr.ac.ir
Abstract:   (3372 Views)

Background and Objectives: A small sample size can influence the results of statistical analysis. A reduction in the sample size may happen due to different reasons, such as loss of information, i.e. existing missing value in some variables. This study aimed to apply bootstrap and jackknife resampling methods in survival analysis of thalassemia major patients.

Methods: In this historical cohort study, the data of 296 patients with thalassemia major who were visited at Zafar Clinic, Tehran, from 1994 to 2013 were used. Parametric survival models were used to analyze the data. The log – normal survival model was selected as the best model and then the bootstrap and jackknife resampling algorithms were used for this model. Data analysis was carried out with the STATA 12.0 software.

Results: The results of the resampling methods showed that standard errors decreased and confidence intervals were shortened. In addition, the result of the bootstrap and jackknife resampling methods showed that age group and the relationship of the parents (P<0.001) were significant compared with the log-normal model (P>0.900).

Conclusion: Comparison of the confidence intervals suggests that the jackknife resampling method can be used when the sample size is small.

Full-Text [PDF 1565 kb]   (725 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/09/27 | Accepted: 2016/09/27 | Published: 2016/09/27

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