某些非线性模型路径公式的近似值

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Scandinavian Journal of Statistics Pub Date : 2024-09-18 DOI:10.1111/sjos.12753

Christiana Kartsonaki

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引用次数: 0

摘要

在线性最小二乘法回归中，存在一种简单的分解方法，即在存在中间变量的情况下，将暴露对结果的影响分解为两个部分。本文首先描述了这种分解方法，然后研究了其他模型的类似分解方法，即逻辑回归模型和比例危险模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Some approximations to the path formula for some nonlinear models

In linear least squares regression there exists a simple decomposition of the effect of an exposure on an outcome into two parts in the presence of an intermediate variable. This decomposition is described and then analogous decompositions for other models are examined, namely for logistic regression and proportional hazards models.

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来源期刊

Scandinavian Journal of Statistics 数学-统计学与概率论

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Scandinavian Journal of Statistics is internationally recognised as one of the leading statistical journals in the world. It was founded in 1974 by four Scandinavian statistical societies. Today more than eighty per cent of the manuscripts are submitted from outside Scandinavia. It is an international journal devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications. The journal specializes in statistical modelling showing particular appreciation of the underlying substantive research problems. The emergence of specialized methods for analysing longitudinal and spatial data is just one example of an area of important methodological development in which the Scandinavian Journal of Statistics has a particular niche.