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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Bibliographic Details
Main Authors: Donald R. Hoover, Qiuhu Shi, Igor Burstyn, Kathryn Anastos
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/16/3/504