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一项来自药物研究的有序疼痛数据的卡方分割与两种对数分析的比较。

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

作者信息

Cox C, Chuang C

出版信息

Stat Med. 1984 Jul-Sep;3(3):273-85. doi: 10.1002/sim.4780030309.

DOI:10.1002/sim.4780030309
PMID:6385189
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.

摘要

我们研究了三种分析有序疼痛数据的方法。第一种本质上是非参数方法,基于对用于检验同质性模型的拟合优度统计量进行划分。另外两种方法涉及对多项概率的截然不同的对数函数进行建模。我们使用一项镇痛试验的实际数据来讨论和比较这三种方法的特点。

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