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