Work

La falta de reproducibilitat de la investigació: L'estadística com a legitimació del resultat

Year: 2014

Type: article

Abstract: Scientific research is validated by reproduction of the results, but efforts to reproduce spurious claims drain resources. We focus on one cause of such failure: false positive statistical test results caused by random variability. Classical statistical methods rely on p-values to measure the evidence against null hypotheses, but Bayesian hypothesis testing produces more easily understood results, provided one can specify prior distributions under the alternative hypothesis. We describe new tests, UMPBTs, which are Bayesian tests that provide default specification of alternative priors, and show that these tests also maximize statistical power.

Source: Mètode: Revista de difusió de la investigació de la Universitat de Valencia

DOI: 10.7203/metode.0.3913

Authors: Scott Goddard, Valen Johnson

Institution: Texas A&M University

Language: Catalan

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1484432145

FWCI:

Cites: 13

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Related to: 10