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ISMOD:一种用于广义线性模型的全子集回归程序。I. 统计与计算背景

ISMOD: an all-subsets regression program for generalized linear models. I. Statistical and computational background.

作者信息

Lawless J F, Singhal K

出版信息

Comput Methods Programs Biomed. 1987 Apr;24(2):117-24. doi: 10.1016/0169-2607(87)90022-8.

Abstract

This paper describes a system written to carry out regression analyses under certain generalized linear models that are widely used in biomedical research. These include continuous response models such as the Weibull, log-logistic, log-normal and Cox proportional hazards models used in survival analysis, and also discrete Poisson, binomial and multinomial response regression models. The system fits models, generates residuals and other diagnostic output, and has an all-subsets regression feature. This paper describes the models implemented and gives statistical background; Part II describes the ISMOD system and presents examples of its application.

摘要

本文描述了一个为在生物医学研究中广泛使用的某些广义线性模型下进行回归分析而编写的系统。这些模型包括生存分析中使用的连续响应模型,如威布尔模型、对数逻辑斯蒂模型、对数正态模型和Cox比例风险模型,以及离散的泊松、二项式和多项响应回归模型。该系统可以拟合模型、生成残差和其他诊断输出,并且具有全子集回归功能。本文描述了所实现的模型并给出了统计背景;第二部分描述了ISMOD系统并展示了其应用示例。

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