Mehta C R, Patel N R
Department of Biostatistics, Harvard School of Public Health, USA.
Stat Med. 1995 Oct 15;14(19):2143-60. doi: 10.1002/sim.4780141908.
We provide an alternative to the maximum likelihood method for making inferences about the parameters of the logistic regression model. The method is based appropriate permutational distributions of sufficient statistics. It is useful for analysing small or unbalanced binary data with covariates. It also applies to small-sample clustered binary data. We illustrate the method by analysing several biomedical data sets.
我们提供了一种替代最大似然法的方法，用于对逻辑回归模型的参数进行推断。该方法基于充分统计量的适当排列分布。它对于分析带有协变量的小样本或不平衡二元数据很有用。它也适用于小样本聚类二元数据。我们通过分析几个生物医学数据集来说明该方法。
