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...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Science
2007
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/8936 |