Incompatibility of Model Specifications in Generalized Linear Models-Reference-Cited by-同舟云学术

Incompatibility of Model Specifications in Generalized Linear Models

Published:2024-06-01 Issue:1 Volume:61 Page:33-50
ISSN:2199-577X
Container-title:Biometrical Letters
language:en
Short-container-title:

Author:

Feng Changyong¹²,Wang Hongyue¹,Liu Honghong¹

Affiliation:

1. Departments of Biostatistics and Computational Biology

2. Department of Anesthesiology and Perioperative Medicine , University of Rochester , Rochester , NY 14642 , USA

Abstract

Summary The choice of regression models can vary depending on a study’s objectives and the characteristics of the dataset. Yet it is crucial to recognize that the properties of conditional expectation impose a natural consistency requirement on the formulation of these models. This paper endeavors to demonstrate that, even under the most favorable assumptions concerning the covariates’ structure, inconsistent specifications can arise in generalized linear models, particularly when nonlinear link functions are employed.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/bile-2024-0003

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