OUTLIER TESTS FOR LOGISTIC-REGRESSION - A CONDITIONAL APPROACH

被引：8

作者：

BEDRICK, EJ ^{[1
]}

HILL, JR ^{[1
]}

机构：

[1] EDS RES,ALBUQUERQUE,NM 87109

来源：

BIOMETRIKA | 1990年 / 77卷 / 04期

关键词：

Exact inference; P-value; Residual;

D O I：

10.1093/biomet/77.4.815

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We consider exact conditional methods for identifying outliers in logistic regression data. Tests for a single outlier and multiple outliers are developed assuming a logistic slippage model. The p-values for these tests are determined using an explicit enumeration of all possible responses consistent with the observed value of the sufficient statistic. Justifications are given for preferring this computationally intensive approach to standard methods based on asymptotic approximations. The techniques are applied to two examples. © 1990 Biometrika Trust.

引用

页码：815 / 827

页数：13

共 25 条

[1] Application of the logistic function to bio-assay [J].