Analysis of interaction effect between within- and between-subject factors in repeated measures analysis of variance for longitudinal data.

ABSTRACT: Repeated measures analysis of variance (RM-ANOVA) is a specialized form of analysis of variance used for analyzing data involving repeated measurements, such as longitudinal data commonly encountered in anesthesia and pain medicine research. When data are collected at multiple time points across more than one group, RM-ANOVA evaluates the between-subject (group) effect, within-subject (time) effect, and interaction between these two factors. The group-by-time interaction effect indicates whether changes in an outcome variable over the study period differ among groups. Analyzing interaction contrasts between specific time points is particularly useful for identifying intervals where this interaction effect is significant. For instance, if an outcome variable is measured at multiple time poi

SUBMITTER: Kim J 

PROVIDER: S-EPMC12489589 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature