Inference by eye: Reading the overlap of independent confidence intervals

By Geoff Cumming. Statistics in Medicine, 2009

651 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Strengthening statistical usage in marine ecology (2012, background): “Assuming an α=0.05, P≤0.05, there is a 5% or less probability that we would obtain the stated result (i.e. Evidence) if H0 were true.”
Agronomic aspects of strip intercropping lettuce with alyssum for biological control of aphids (2013, background): “…intervals that overlap with a mean are not different, and intervals that overlap by half of one interval arm are significantly different at P 0.05 (Cumming, 2009 ); however, such comparisons are not adjusted to control the family wise error rate for multiple comparisons and are more robust when…”
Diets of sympatric native and introduced carnivores in the Barrington Tops, eastern Australia. (2011, methodology): “This approach allows inference to be made by both formal statistical tests and by visual interpretation of the graphical outputs (Cumming 2009).”
Stress and Coping Patterns of University Students (2019, methodology): “This analysis was conducted employing methodology outlined by Cumming (2009), and no statistically significant differences were found based on the substantial overlap of CIs.”
Fair Statistical Communication in HCI (2016, methodology): “Watching replication simulations (e.g., from Cumming (2009a)) is enough to get a good intuition, and one can hardly claim to understand statistics without being equipped with such an intuition. p-values add another layer of complexity.”