A comparison of chi‐square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study
- 1 July 1984
- journal article
- clinical trial
- Published by Wiley in Statistics in Medicine
- Vol. 3 (3), 273-285
- https://doi.org/10.1002/sim.4780030309
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
This publication has 6 references indexed in Scilit:
- Association Models and Canonical Correlation in the Analysis of Cross- Classifications Having Ordered CategoriesJournal of the American Statistical Association, 1981
- Regression, Discrimination and Measurement Models for Ordered Categorical VariablesJournal of the Royal Statistical Society Series C: Applied Statistics, 1981
- An Empirical Investigation of Goodness-of-Fit Statistics for Sparse MultinomialsJournal of the American Statistical Association, 1980
- Simple Models for the Analysis of Association in Cross-Classifications Having Ordered CategoriesJournal of the American Statistical Association, 1979
- Analgesic efficacy of an orally administered combination of pentazocine and aspirin; With observations on the use and statistical efficiency of GLOBAL subjective efficacy ratingsClinical Pharmacology & Therapeutics, 1977
- MAXIMUM LIKELIHOOD ESTIMATION BY MEANS OP NONLINEAR LEAST SQUARESETS Research Bulletin Series, 1975