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Bootstrap Comparison of Non‐Nested Generalized Linear Models: Applications in Survival Analysis and Epidemiology
Author(s) -
Wahrendorf Jürgen,
Becher Heiko,
Brown Charles C.
Publication year - 1987
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347846
Subject(s) - statistics , generalized linear model , mathematics , nested set model , econometrics , computer science , data mining , relational database
SUMMARY Bootstrapping the differences of deviances of non‐nested generalized linear models is proposed for comparing the goodness‐of‐fit of such models. Two examples are used for illustration. Different parametrizations of a dose‐response model are compared in a carcinogenicity study as are multiplicative and additive models in an epidemiological example.