Abstract:
:A new goodness-of-fit test for the logistic regression model is proposed. It exploits the property of this model that when it is correct, i.e. not misspecified, the parameter estimates are (asymptotically) invariant under reweighting the observations by weights wi that are a function of the binary (0/1) outcomes yi. Misspecification of the model can thus be concluded when parameter estimates change under reweighting. A local test, considering weights of the form wi=(1 + epsilonyi) is explored. The test is especially suitable for case-control studies but may be used in other contexts as well.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Nagelkerke N,Smits J,le Cessie S,van Houwelingen Hdoi
10.1002/sim.1997subject
Has Abstractpub_date
2005-01-15 00:00:00pages
121-30issue
1eissn
0277-6715issn
1097-0258journal_volume
24pub_type
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pub_type: 临床试验,杂志文章,随机对照试验
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