Hello everyone,

I’m working on a dataset of metabolic data collected during a 48-hour experiment. The data was recorded every 2 minutes and 30 seconds, resulting in a large number of time points. There are 8 mice in total, divided into two groups: WT (n=4) and KO (n=4). My goal is to compare certain metabolic measures between the two groups to identify significant differences.

I’m considering using statistical methods suited for repeated measures (e.g., linear models or repeated measures ANOVA), but I’m unsure of the best approach in this context.

Thanks in advance for your help and advice!