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Location—scale cumulative odds models for ordinal data: A generalized non‐linear model approach
Christopher Cox
Research output
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Contribution to journal
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Article
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peer-review
56
Scopus citations
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Dive into the research topics of 'Location—scale cumulative odds models for ordinal data: A generalized non‐linear model approach'. Together they form a unique fingerprint.
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Mathematics
Proportional Odds Model
100%
Odds
90%
Ordinal Data
89%
Adjustment
69%
Nonlinear Model
67%
ROC Analysis
58%
Ordered Categories
49%
Statistical Software
43%
Nonlinear Regression
40%
Location Parameter
38%
Standard deviation
36%
Scale Parameter
35%
Maximum Likelihood Estimate
33%
Family
32%
Synthesis
31%
Continuum
30%
Regression Model
28%
Regression
26%
Statistics
24%
Partial
23%
Model
22%
Context
21%
Standards
19%
Generalization
17%
Medicine & Life Sciences
Nonlinear Dynamics
91%
Likelihood Functions
53%
Social Adjustment
33%
ROC Curve
29%
Statistics
27%
Software
26%
Direction compound
25%