A comparison of chi‐square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study

Christopher Cox; Christy Chuang

doi:10.1002/sim.4780030309

A comparison of chi‐square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study

Christopher Cox, Christy Chuang

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

We study three approaches for the analysis of ordinal pain data. The first is essentially non‐parametric, based on partitioning the goodness‐of‐fit statistic for testing the homogeneity model. The other two involve the modelling of quite different logit functions of the multinomial probabilities. We discuss and compare the characteristics of these three approaches using actual data from an analgesic trial.

Original language	English (US)
Pages (from-to)	273-285
Number of pages	13
Journal	Statistics in Medicine
Volume	3
Issue number	3
DOIs	https://doi.org/10.1002/sim.4780030309
State	Published - 1984
Externally published	Yes

Keywords

Base comparison logit models
Continuation ratios
Cumulative odds logit models
Ordinal pain data

ASJC Scopus subject areas

Epidemiology
Statistics and Probability

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10.1002/sim.4780030309

Cite this

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abstract = "We study three approaches for the analysis of ordinal pain data. The first is essentially non‐parametric, based on partitioning the goodness‐of‐fit statistic for testing the homogeneity model. The other two involve the modelling of quite different logit functions of the multinomial probabilities. We discuss and compare the characteristics of these three approaches using actual data from an analgesic trial.",

keywords = "Base comparison logit models, Continuation ratios, Cumulative odds logit models, Ordinal pain data",

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year = "1984",

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AB - We study three approaches for the analysis of ordinal pain data. The first is essentially non‐parametric, based on partitioning the goodness‐of‐fit statistic for testing the homogeneity model. The other two involve the modelling of quite different logit functions of the multinomial probabilities. We discuss and compare the characteristics of these three approaches using actual data from an analgesic trial.

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KW - Continuation ratios

KW - Cumulative odds logit models

KW - Ordinal pain data

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A comparison of chi‐square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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