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Frailty modeling for clustered survival data: an application to birth interval in Bangladesh

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  • Sharif Mahmood
  • Begum Zainab
  • A.H.M. Mahbub Latif

Abstract

The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Cox's proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.

Suggested Citation

  • Sharif Mahmood & Begum Zainab & A.H.M. Mahbub Latif, 2013. "Frailty modeling for clustered survival data: an application to birth interval in Bangladesh," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2670-2680, December.
    • Handle: RePEc:taf:japsta:v:40:y:2013:i:12:p:2670-2680
    DOI: 10.1080/02664763.2013.825702
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    3. Elizabeth Zenger, 1993. "Siblings’ neonatal mortality risks and birth spacing in Bangladesh," Demography, Springer;Population Association of America (PAA), vol. 30(3), pages 477-488, August.
    4. Kelvin K. W. Yau, 2001. "Multilevel Models for Survival Analysis with Random Effects," Biometrics, The International Biometric Society, vol. 57(1), pages 96-102, March.
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