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Why no additive hazards
models?
Newby, M.
Graduate Sch. of Ind. Sci., Eindhoven Univ. of
Technol.;
This paper appears
in: Reliability, IEEE Transactions on
Publication Date: Sep 1994
On page(s): 484-488
Volume: 43, Issue:
3
ISSN:
0018-9529
References Cited:
19
CODEN: IERQAD
Abstract:
The intuitively attractive additive hazards
model is compared with the proportional hazards and accelerated
failure time models. The lack of identifiability limits the use of
the model and prevents the application of regression versions using
covariates. Fortunately, data analysis based on nonhomogeneous
Poisson processes or on proportional hazards is likely to yield most
of the information available in the data, even though they: (1) do
not necessarily represent the underlying process; and (2) even seem
unlikely in certain situations. In particular, proportional hazards
modeling appears very robust and requires few assumptions
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