Evaluation of frequentist test statistics using constrained statistical inference in the context of the generalized linear model

Evaluation of frequentist test statistics using constrained statistical inference in the context of the generalized linear model

ABSTRACTWhen faced with a binary or count outcome, informative hypotheses can be tested in the generalized linear model using the distance statistic as well as modified versions of the Wald, the Score and the likelihood-ratio test (LRT). In contrast to classical null hypothesis testing, informative...

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Bibliographic Details
Main Authors: Caroline Keck, Axel Mayer, Yves Rosseel
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Health Psychology and Behavioral Medicine
Subjects:
Informative hypothesis testing
constrained statistical inference
type I error rates
generalized linear model
treatment effects
Online Access:https://www.tandfonline.com/doi/10.1080/21642850.2023.2222164

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https://www.tandfonline.com/doi/10.1080/21642850.2023.2222164

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