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Construction of simultaneous confidence bands for multiple logistic regression models over restricted regions

机译:限制区域上多个逻辑回归模型的同时置信带的构建

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This article presents methods for constructing an asymptotic hyperbolic band under the multiple logistic regression model when the predictor variables are restricted to a specific region. Scheffe's method yields unnecessarily wide, and hence conservative, bands if the predictor variables can be restricted to a certain region. Piegorsch and Casella [Confidence bands for logistic regression with restricted predictor variables. Biometrics. 1988;44:739-750] developed a procedure to build an asymptotic confidence band for the multiple logistic regression model over particular regions. Those regions are shown to be special cases of the region, which was first investigated by Seppanen and Uusipaikka [Confidence bands for linear regression over restricted regions. Scand J Stat. 1992;19:73-81] in the multiple linear regression context. This article also provides methods for constructing conservative confidence bands when the restricted region is not of the specified form. Particularly, rectangular restricted regions, which are commonly encountered in practice, are considered. Two examples are given to illustrate the proposed methodology, and one example shows that the proposed procedure outperforms the method given by Piegorsch and Casella (1988).
机译:本文介绍了在预测变量只限于特定区域的情况下,在多元逻辑回归模型下构造渐近双曲线带的方法。如果可以将预测变量限制在某个区域,则Scheffe的方法会不必要地产生较宽的频带,因此是保守的。 Piegorsch和Casella [用于预测变量受限的逻辑回归的置信带。生物识别。 1988; 44:739-750]开发了一种程序,可为特定区域的多元logistic回归模型建立渐近置信带。这些区域显示为该区域的特例,首先由Seppanen和Uusipaikka研究[用于限制区域线性回归的置信带。扫描的J Stat。 1992; 19:73-81]。本文还提供了在限制区域不是指定形式时构造保守置信带的方法。特别地,考虑了在实践中经常遇到的矩形限制区域。给出了两个例子来说明所提出的方法,一个例子表明所提出的程序要优于Piegorsch和Casella(1988)给出的方法。

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