Goodness-of-Fit Tests for Ordinal Response Regression Models
提出了针对有序回归模型的拟合优度检验统计量，其近似卡方分布，可视为Hosmer-Lemeshow统计量对有序分类数据的扩展，并通过关节炎临床试验数据验证了方法。
In this paper, goodness-of-fit test statistics for ordinal regression models are proposed, which have approximate X2-distributions when the model has been correctly specified. The statistics proposed can be viewed as extensions of the Hosmer-Lemeshow statistic to ordinal categorical data and can be easily calculated by using existing statistical software for analysing ordinal response data The methods are illustrated by using data from an arthritis clinical trial comparing the drug auranofin and placebo therapy for the treatment of rheumatoid arthritis, in which the response is a self-assessment of arthritis, classified as poor, fair and good. The covariates of interest are age, gender, treatment and base-line response. A proportional odds model is fitted to the data, and the proposed goodness-of-fit statistics are applied to the fitted model. Also, the small sample properties of the proposed goodness-of-fit statistics are compared in a simulation study.