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Ordered logit

In statistics, the ordered logit model or proportional odds logistic regression is an ordinal regression model—that is, a regression model for ordinal dependent variables—first considered by Peter McCullagh. For example, if one question on a survey is to be answered by a choice among "poor", "fair", "good", "very good" and "excellent", and the purpose of…

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Applications

Clinical researchDemographics
2 related topics

The model and the proportional odds assumption

OddsError termCensored data
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Model fitting

Maximum likelihood estimationBayesian inference
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Overview

StatisticsOrdinal regressionRegressionOrdinalDependent variables
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Overview

The model and the proportional odds assumption

Model fitting

Applications

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Ordered logit

Nodes21
Edges20
Triples13
Avg. degree1.9
Density0.095238
Components1

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Ordered logit

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related to External links · 11
Ordered logit → Germán, Ordered Logit Models, Princeton University, Retrieved, Rodríguez, Sample, Simon, STATS, Steve, STeve's Attempt, Teach Statistics

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Important terminology

ordered regression logistic model odds logit dependent response data variables proportional isbn analysis ordinal independent variable models poor fair good

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
demographicsinstance ofas well as control variables0.80text
details from medical historyinstance ofas well as control variables0.80text
Ordered logitrelated to External linksSimon0.60section
Ordered logitrelated to External linksSteve0.60section
Ordered logitrelated to External linksSample0.60section
Ordered logitrelated to External linksSTATS0.60section
Ordered logitrelated to External linksSTeve's Attempt0.60section
Ordered logitrelated to External linksTeach Statistics0.60section
Ordered logitrelated to External linksRetrieved0.60section
Ordered logitrelated to External linksRodríguez0.60section
Ordered logitrelated to External linksGermán0.60section
Ordered logitrelated to External linksOrdered Logit Models0.60section

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