Here are some examples of real-world statistical analyses that don’t use p-values and significance testing.

Joe Nadeau writes:

I’ve followed the issues about p-values, signif. testing et al. both on blogs and in the literature. I appreciate the points raised, and the pointers to alternative approaches. All very interesting, provocative.

My question is whether you and your colleagues can point to real world examples of these alternative approaches. It’s somewhat easy to point to mistakes in the literature. It’s harder, and more instructive, to learn from good analyses of empirical studies.

My reply:

I have lots of examples of alternative approaches; see the applied papers here.

And here are two particular examples:

The Millennium Villages Project: a retrospective,observational, endline evaluation

Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation

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