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The analysis of ordered categorical data: An overview and a survey of recent developments

Liu, Ivy, Agresti, Alan·2005·Test

DOI 10.1007/bf02595397

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“It has the simplicity to interpret the covariate effect on ordinal responses due to the proportional odds assumption (McCullagh, 1980; Liu & Agresti, 2005; Agresti, 2010).”
BackgroundSelf-citation
A comparative analysis of generalized estimating equations methods for incomplete longitudinal ordinal data with ignorable dropouts.
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See all 301

Authors: Liu, I., & Agresti, A.
Venue: Test
Publisher: Springer Science and Business Media LLC
Published: 2005-06
Volume: 14
Issue: 1
Pages: 1-73
ISSN: 1133-0686 (ISSN-L)
1863-8260
DOI: 10.1007/bf02595397
OpenAlex: W2104761564
Cited by: 301
References: 176
FWCI: 10.92
Type: journal article
Language: en
Open access: closed

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The analysis of ordered categorical data: An overview and a survey of recent developments

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