Abstract:
:Epidemiologists frequently encounter studies with ordered responses. Standard ordered response logit models, such as the continuation ratio model, constrain exposure to have a homogeneous effect across thresholds of the ordered response. We demonstrate a method for fitting regression models for unconstrained, partially or fully constrained continuation odds ratios using a 'person-threshold' data set. For each subject, we create a separate record for each response threshold the subject is 'at risk' of passing and then apply standard binary logistic regression to estimate the continuation-ratio model. An example demonstrates the unconstrained, partially and fully constrained continuation-ratio model, while a small simulation study examines some properties of the proposed 'person-threshold' approach. Finally, we present a brief discussion of statistical software to implement the method.
journal_name
Int J Epidemioljournal_title
International journal of epidemiologyauthors
Cole SR,Ananth CVdoi
10.1093/ije/30.6.1379keywords:
subject
Has Abstractpub_date
2001-12-01 00:00:00pages
1379-82issue
6eissn
0300-5771issn
1464-3685journal_volume
30pub_type
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pub_type: 杂志文章
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pub_type: 杂志文章
doi:10.1093/ije/26.1.24
更新日期:1997-02-01 00:00:00
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journal_title:International journal of epidemiology
pub_type: 杂志文章
doi:10.1093/ije/7.2.139
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pub_type: 杂志文章
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更新日期:2005-12-01 00:00:00
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