An approach for quantifying small effects in regression models

作者：Bedrick Edward J^*; Hund Lauren

来源：Statistical Methods in Medical Research, 2018, 27(4): 1088-1098.

DOI：10.1177/0962280216653152

• Analysis of covariance
• interaction
• negligible effects
• R-squared
• tests for equivalence

We develop a novel approach for quantifying small effects in regression models. Our method is based on variation in the mean function, in contrast to methods that focus on regression coefficients. Our idea applies in diverse settings such as testing for a negligible trend and quantifying differences in regression functions across strata. Straightforward Bayesian methods are proposed for inference. Four examples are used to illustrate the ideas.

• 出版日期2018-4