Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research
Fig 1
The effects of methodological parameters on variability (CV) in infarct volume across control groups.
Mean estimates of unconditional (marginalized), group-specific coefficients of variation (%) are indicated as gray circles, while the overall estimate is indicated as a gray diamond. Moreover, 95% CIs are shown as gray lines and are asymmetric due to back-transformation of log coefficient of variation (lnCV) to the natural scale. Spontaneous occlusion generated the highest estimate of variability as indicated by the arrowhead. The overall and group-specific estimates were obtained from MLMA and MLMR models, respectively. The data underlying this figure can be found at https://doi.org/10.6084/m9.figshare.14527317.v4. CI, credible interval; CV, coefficient of variation; lnCV, log coefficient of variation; MLMA, multilevel meta-analysis; MLMR, multilevel meta-regression.
doi: https://doi.org/10.1371/journal.pbio.3001009.g001