RMeDPower2 for Biology: guiding the design, experimental structure and analyses of experiments generating repeated measures datasets
M.-G. Shin, N. Amirani, S. Lam, N. Al Bistami, K. Raja, E. Vertudes, J. A. Kaye, R. Thomas, S. Finkbeiner
RMeDPower2 helps researchers design and analyze repeated measures experiments by providing statistical tools based on GLMMs to improve reproducibility and power.
bioRxiv · Jul 18, 2022 · PreprintCell Biology