Repeated Measures Regression in Laboratory, Clinical and Environmental Research: Common Misconceptions in the Matter of Different Within- and Between-Subject Slopes

When using repeated measures linear regression models to make causal inference in laboratory, clinical and environmental research, it is typically assumed that the within-subject association of differences (or changes) in predictor variable values across replicates is the same as the between-subject...

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Detalles Bibliográficos
Autores principales: Hoover, Donald R., Shi, Qiuhu, Burstyn, Igor, Anastos, Kathryn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388388/
https://www.ncbi.nlm.nih.gov/pubmed/30754731
http://dx.doi.org/10.3390/ijerph16030504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388388/
https://www.ncbi.nlm.nih.gov/pubmed/30754731
http://dx.doi.org/10.3390/ijerph16030504

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