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Quality & Quantity

, Volume 52, Issue 3, pp 999–1013 | Cite as

Comparing hazard models for the growth failure of children in Iran

  • Mohammad Salehi Veisi
  • Sadegh Rezaei
  • Saralees Nadarajah
Article
  • 92 Downloads

Abstract

One of the statistical methods deployed in medical sciences to investigate time to event data is the survival analysis. This study, comparing efficiency of some parametric and semiparametric survival models, aims at investigating the effect of demographic and socio-economic factors on the growth failure of children below 2 years of age in Iran. The survival models including exponential, Weibull, log-logistic and log-normal models were compared to proportional hazards and extended Cox models by Akaike Information Criterion and variability of the estimated parameters. Based on the results, the log-normal model is recommended for analyzing the growth failure data of children in Iran. Furthermore, it is suggested that female children, children born to illiterate mothers and children born in larger households receive more attention in terms of growth failure.

Keywords

Accelerated failure time models Cox proportional hazards model Model efficacy Survival analysis 

Notes

Acknowledgements

This work was a part of a Ph.D. dissertation in mathematical statistics supported by Amirkabir University. The authors are thankful to the Deputy of Health of Lorestan University of Medical Sciences for providing data for this research. The authors would like to thank the Editor and the two referees for careful reading and comments which improved the paper.

Compliance with ethical standards

Conflict of interest

The authors declare that there are no conflicts of interest.

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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • Mohammad Salehi Veisi
    • 1
  • Sadegh Rezaei
    • 1
  • Saralees Nadarajah
    • 2
  1. 1.Department of StatisticsAmirkabir University of TechnologyTehranIran
  2. 2.School of MathematicsUniversity of ManchesterManchesterUK

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