Treatment effects beyond the mean using distributional regression: Methods and guidance

This paper introduces distributional regression also known as generalized additive models for location, scale and shape (GAMLSS) as a modeling framework for analyzing treatment effects beyond the mean. In contrast to mean regression models, GAMLSS relate each distributional parameter to covariates....

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Detalles Bibliográficos
Autores principales: Hohberg, Maike, Pütz, Peter, Kneib, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021287/
https://www.ncbi.nlm.nih.gov/pubmed/32058999
http://dx.doi.org/10.1371/journal.pone.0226514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021287/
https://www.ncbi.nlm.nih.gov/pubmed/32058999
http://dx.doi.org/10.1371/journal.pone.0226514

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