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Hierarchical Proportional Hazards Regression Models for Highly Stratified Data

✍ Scribed by Bradley P. Carlin; James S. Hodges


Book ID
110724648
Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
870 KB
Volume
55
Category
Article
ISSN
0006-341X

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Adjusted variable plots are useful in linear regression for outlier detection and for qualitative evaluation of the fit of a model. In this paper, we extend adjusted variable plots to Cox's proportional hazards model for possibly censored survival data. We propose three different plots: a risk level