#statistics

And also:

"Moving beyond P values: data analysis with estimation graphics", Ho et al. 2019 (Claridge-Chang lab)
https://www.nature.com/articles/s41592-019-0470-3

"Here we describe the estimation graphic, a plot that displays an experimental dataset’s complete statistical information. We also introduce software that makes high-quality estimation graphics available to all."

See "Fig. 1: The evolution of two-group data graphics."

"a, Two-group data with control (C) and test (T) groups presented in a bar chart. b, The same data presented as a box plot. c, This scatter plot shows the observed values along with descriptive statistics (mean and s.d.) but does not illustrate effect size. d, A two-group comparison with complete visualization of the NHST perspective. The filled curve on the difference axis indicates the distribution of the mean difference under the null hypothesis. Here the null distribution was constructed with permutation of observed data. By definition, this distribution has a mean difference of zero. The area of the red segment indicates the P value (for one-sided testing). e, An estimation graphic using the difference axis to display an effect size, here the mean difference (∆). The curve indicates the resampled distribution of ∆, given the observed data. Horizontally aligned with the mean of the test group, ∆ is indicated by the red circle. The 95% confidence interval of ∆ is illustrated by the red vertical line. We propose calling such graphics ‘Gardner–Altman plots’, after their originators."

#statistics

For anyone still submitting biology papers with p-values:

"Estimation statistics should replace significance testing", Claridge-Chang and Assam, 2016
https://www.nature.com/articles/nmeth.3729 (and also at https://zenodo.org/records/60156 ).

#statistics #SignificanceTesting #pvalue #ScientificPublishing

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To give you a sneak peek into my courses, I’ve just published a free video on YouTube that walks through a complete data project in R.

Watch the video here: https://www.youtube.com/watch?v=l2OgRdofp90

#rstats #statistics #datascience #dataviz #statisticalanalysis #pca