Premium
A comparison of chi‐square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study
Author(s) -
Cox Christopher,
Chuang Christy
Publication year - 1984
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780030309
Subject(s) - ordinal data , statistic , statistics , homogeneity (statistics) , logit , ordinal regression , goodness of fit , mathematics , econometrics , ordered logit , logistic regression , computer science
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.