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Analysis of repeated failures or durations, with application to shunt failures for patients with paediatric hydrocephalus

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  • J. F. Lawless
  • M. B. Wigg
  • S. Tuli
  • J. Drake
  • M. Lamberti‐Pasculli

Abstract

We consider studies involving the repeated occurrence of certain events, in which the emphasis is on the gaps or times between events. Interesting methodological issues arise in such situations, including the validity of semiparametric methods for multiplicative hazard‐based models and the possibilities for marginal analysis of successive gap times. We discuss these and other points in conjunction with an examination of observational data on repeated shunt failures for a population of children with hydrocephalus.

Suggested Citation

  • J. F. Lawless & M. B. Wigg & S. Tuli & J. Drake & M. Lamberti‐Pasculli, 2001. "Analysis of repeated failures or durations, with application to shunt failures for patients with paediatric hydrocephalus," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(4), pages 449-465.
    • Handle: RePEc:bla:jorssc:v:50:y:2001:i:4:p:449-465
    DOI: 10.1111/1467-9876.00247
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    Cited by:

    1. Sankaran, P.G. & Anisha, P., 2012. "Additive hazards models for gap time data with multiple causes," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1454-1462.
    2. P. G. Sankaran & P. Anisha, 2011. "Shared frailty model for recurrent event data with multiple causes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2859-2868, February.
    3. Nibedita Bandyopadhyay & Ananda Sen, 2005. "Non-standard asymptotics in an inhomogeneous gamma process," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(4), pages 703-732, December.

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