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Influence diagnostics for random effect survival models: Application to a recurrent infection study for kidney patients on portable dialysis

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  • Xiang, Liming
  • Yau, Kelvin K.W.
  • Tse, S.K.
  • Lee, Andy H.

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  • Xiang, Liming & Yau, Kelvin K.W. & Tse, S.K. & Lee, Andy H., 2007. "Influence diagnostics for random effect survival models: Application to a recurrent infection study for kidney patients on portable dialysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5977-5993, August.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:12:p:5977-5993
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    References listed on IDEAS

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    1. Wen Hsiang Wei & Michael R. Kosorok, 2000. "Masking Unmasked in the Proportional Hazards Model," Biometrics, The International Biometric Society, vol. 56(4), pages 991-995, December.
    2. Yau, Kelvin K. W. & McGilchrist, C. A., 1999. "Power family of transformation for Cox's regression with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 30(1), pages 57-66, March.
    3. Xiang, Liming & Tse, Siu-Keung & Lee, Andy H., 2002. "Influence diagnostics for generalized linear mixed models: applications to clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 40(4), pages 759-774, October.
    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.
    5. Larry F. León & Chih-Ling Tsai, 2004. "Functional Form Diagnostics for Cox's Proportional Hazards Model," Biometrics, The International Biometric Society, vol. 60(1), pages 75-84, March.
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    Cited by:

    1. Lai, Xin & Yau, Kelvin K.W., 2010. "Extending the long-term survivor mixture model with random effects for clustered survival data," Computational Statistics & Data Analysis, Elsevier, vol. 54(9), pages 2103-2112, September.
    2. Yun Zhao & Andy Lee & Kelvin Yau & Geoffrey McLachlan, 2011. "Assessing the adequacy of Weibull survival models: a simulated envelope approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2089-2097.
    3. P. Economou & S. Malefaki & C. Caroni, 2015. "Bayesian Threshold Regression Model with Random Effects for Recurrent Events," Methodology and Computing in Applied Probability, Springer, vol. 17(4), pages 871-898, December.

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