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blog.analytics-toolkit.com | ||
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easystats.github.io
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| | | | | TLDR: BayestestR currently uses a 89% threshold by default for Credible Intervals (CI). Should we change that? If so, by what? Join the discussion here. Magical numbers, or conventional thresholds, have bad press in statistics, and there are many of them. For instance, .05 (for the p-value), or the 95% range for the Confidence Interval (CI). Indeed, why 95 and not 94 or 90? One of the issue that traditional confidence intervals are often being interpreted as a description of the uncertainty surrounding a parameter's value. | |
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ddarmon.github.io
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www.analytics-toolkit.com
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| | | | | Adjust p-values from multiple significance tests to control the Family-Wise Error Rate (FWER) or False Discovery Rate (FDR) in cases when multiple test metrics can lead to action. Suitable for A/B testing practitioners. | |
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www.ericekholm.com
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| | | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of) | ||
