Type S error rates for classical and Bayesian single and multiple comparison procedures

Gelman, A., & Tuerlinckx, F. (2000). Type S error rates for classical and Bayesian single and multiple comparison procedures. Computational Statistics.

Type

Journal article

Intellectual base

Primary research

Year

2000

DOI

10.1007/s001800000040

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/s001800000040

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Domain-specific

• Type S Error
  • Gelman and Tuerlinckx (2000) introduced Type S error (with Type M as its magnitude counterpart), and Gelman and Carlin (2014) built the pair into prospective design calculations, to reframe inferential risk away from the classical null-versus-alternative binary and onto the question: given that I will only act on a significant result, how likely is my significant result to correctly identify the direction of the true effect?

    This sourceIntroduces the Type S (sign) error, a confident claim about a comparison's direction when the truth runs the other way, in place of Type 1 error calibrated against a zero null.

    Supported in partVerified against the source

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