Abstract:
:We discuss the use of the trichotomous logistic model to discriminate between patients with gastrointestinal (GI) cancer, patients with benign GI disease and 'normal' subjects, using symptoms and the concentrations of some serum proteins that are potentially indicative of malignancy as covariates. A parsimonious model can be obtained by invoking an indistinguishability hypothesis which is appropriate when a covariate is considered to have no predictive value between categories. It is shown that the polychotomous model can be re-parameterised under the null hypothesis to give a 'reduced form', which can be fitted by maximum likelihood. The validity of the use of the same methods for retrospective sampling is discussed. The approach is illustrated by the development of a logistic model to identify symptomatic and asymptomatic subjects with a high risk of GI cancer.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Marshall RJ,Chisholm EMdoi
10.1002/sim.4780040313subject
Has Abstractpub_date
1985-07-01 00:00:00pages
337-44issue
3eissn
0277-6715issn
1097-0258journal_volume
4pub_type
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journal_title:Statistics in medicine
pub_type: 杂志文章
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journal_title:Statistics in medicine
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pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 临床试验,杂志文章
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更新日期:2017-07-30 00:00:00
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pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 杂志文章
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