Volume 21, Issue 6 (12-2018)                   J Arak Uni Med Sci 2018, 21(6): 26-33 | Back to browse issues page

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Habibi D, Rafiei M. Analysis of Interval Censored Data Using Random Imputation Technique. J Arak Uni Med Sci. 2018; 21 (6) :26-33
URL: http://jams.arakmu.ac.ir/article-1-5670-en.html
1- Department of Biostatistics, Arak University of Medical Sciences, Arak, Iran.
2- Department of Biostatistics, Arak University of Medical Sciences, Arak, Iran. , rafeie@arakmu.ac.ir
Abstract:   (277 Views)
Background and Aim: Interval censored data occur in repeated data in medical studies. There are common methods to analysis this type of data. The purpose of this study is to examine the random imputation technique in the analysis of interval censored data.
Materials and Methods: Using the Monte Carlo simulation technique, we evaluate the power of Random Imputation method, and finally we assess its performance using the actual data set. Actual dataset is related to dental information in Urmia, which contains 207 children. All calculations are done using R 3.2.3 software.
Findings: The simulation results show that the power of random imputation technique is good and acceptable. The p-value in real data shows that there is no difference using the random imputation technique.
Conclusion: Random imputation technique can be used as an alternative method in comparison with other conventional methods.

Full-Text [PDF 2214 kb]   (136 Downloads)    
Type of Study: Original Atricle | Subject: Basic Sciences
Received: 2018/03/10 | Accepted: 2018/07/11

1. Miller Jr RG. Survival analysis: John Wiley & Sons; 2011.
2. Collett D. Modelling Survival Data in Medical Research. Boca Raton, Fla: Chapman & Hall/CRC. 2003.
3. Habibi D, Rafiei M, Chehrei A, Shayan Z, Tafaqodi S. Comparison of Survival Models for Analyzing Prognostic Factors in Gastric Cancer Patients. Asian Pacific journal of cancer prevention: APJCP. 2018; 19(3):749.
4. Cox DR. Analysis of survival data: Routledge; 2018.
5. Kalbfleisch J, Prentice RL. statistical analysis of failure time data. 1980.
6. Klein JP, Van Houwelingen HC, Ibrahim JG, Scheike TH. Handbook of survival analysis: CRC Press; 2013.
7. Klein J, Moeschberger M. Survival analysis: statistical methods for censored and truncated data. New York, NY: Springer-Verlag; 2003.
8. Kleinbaum DG, Klein M. Survival analysis: Springer; 2010.
9. Pakyari RE, Habibi D. On Comparison of Survival Curves with Interval Censored Data. Jordan Journal of Mathematics and Statistics. 2016; 9(3):203-15.
10. Peace KE, Sun J, Chen D-GD. Interval-censored time-to-event data: methods and applications: Chapman and Hall/CRC; 2012.
11. Peto R, Peto J. Asymptotically efficient rank invariant test procedures. Journal of the Royal Statistical Society Series A (General). 1972: 185-207.
12. Finkelstein DM. A proportional hazards model for interval-censored failure time data. Biometrics. 1986: 845-54.
13. Zhao Q, Sun J. Generalized log‐rank test for mixed interval‐censored failure time data. Statistics in Medicine. 2004; 23(10):1621-9.
14. Sun J. A non‐parametric test for interval‐censored failure time data with application to AIDS studies. Statistics in medicine. 1996; 15(13):1387-95.
15. Zhao X, Zhao Q, Sun J, Kim JS. Generalized Log‐Rank Tests for Partly Interval‐Censored Failure Time Data. Biometrical Journal. 2008; 50(3):375-85.
16. Mills M. Introducing survival and event history analysis: Sage; 2010.
17. Kiani K, Arasan J, editors. Simulation of interval censored data in medical and biological studies. International Journal of Modern Physics: Conference Series; 2012: World Scientific.
18. Pakyari R, Rafiei M, Abolhasani S. Statistical Analysis of Failure Time of the Molar Tooth Using Goodness-of-Fit Technique for Interval Censored Data. Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk. 2016; 19(6):11-8.

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