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

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

In modeling multivariate failure time data, a class of survival model with random effects is applicable. It incorporates the random effect terms in the linear predictor and includes various random effect survival models as special cases, such as the random effect model assuming Cox's proportion...

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Bibliographic Details
Main Authors:	Xiang, L., Yau, K., Tse, S., Lee, Andy
Format:	Journal Article
Published:	Elsevier Science 2007
Subjects:	Influence diagnostics Local influence Generalised linear mixed models Random effects Multivariate failure times Weibull distribution
Online Access:	http://hdl.handle.net/20.500.11937/8936

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