Abstract:
:In contrast to other models for ordinal data, the continuation ratio model can be fitted with standard statistical software. This makes it particularly appropriate for large clinical trials with ordinal response variables. In addition, when the trials are longitudinal, this model can be applied to individual responses instead of frequencies in contingency tables. Dependence can be incorporated by conditioning on the previous response, yielding a form of Markov chain. This approach is applied to the analysis of a large seasonal rhinitis trial, where patients were observed over 28 days and six symptoms recorded as ordinal responses.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Lindsey JK,Jones B,Ebbutt AFdoi
10.1002/(sici)1097-0258(19971230)16:24<2873::aid-ssubject
Has Abstractpub_date
1997-12-30 00:00:00pages
2873-82issue
24eissn
0277-6715issn
1097-0258pii
10.1002/(SICI)1097-0258(19971230)16:24<2873::AID-Sjournal_volume
16pub_type
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更新日期:2014-09-20 00:00:00
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doi:10.1002/sim.6973
更新日期:2016-09-10 00:00:00
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doi:10.1002/sim.6259
更新日期:2014-11-20 00:00:00
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pub_type: 杂志文章
doi:10.1002/sim.5903
更新日期:2013-12-30 00:00:00
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journal_title:Statistics in medicine
pub_type: 杂志文章,评审
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pub_type: 杂志文章
doi:10.1002/sim.4780071004
更新日期:1988-10-01 00:00:00
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doi:10.1002/sim.3877
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doi:10.1002/sim.4780010105
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doi:10.1002/sim.2322
更新日期:2006-05-30 00:00:00
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更新日期:2015-12-30 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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更新日期:2007-11-20 00:00:00
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