Search results for "p-values"

showing 3 items of 3 documents

Retract p < 0.005 and propose using JASP, instead

2018

Seeking to address the lack of research reproducibility in science, including psychology and the life sciences, a pragmatic solution has been raised recently:  to use a stricter p < 0.005 standard for statistical significance when claiming evidence of new discoveries. Notwithstanding its potential impact, the proposal has motivated a large mass of authors to dispute it from different philosophical and methodological angles. This article reflects on the original argument and the consequent counterarguments, and concludes with a simpler and better-suited alternative that the authors of the proposal knew about and, perhaps, should have made from their Jeffresian perspective: to use a Bayes …

0301 basic medicineData SharingOpen scienceComputer scienceresearch evidenceGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineArgumentFrequentist inferenceOrder (exchange)practical significanceBayes factorsPrior probabilityreplicabilityp-valueGeneral Pharmacology Toxicology and Pharmaceuticsreproducibilitystatistical significancePotential impactGeneral Immunology and MicrobiologyPerspective (graphical)Bayes factorArticlesGeneral MedicineOpinion ArticleEpistemology030104 developmental biologyp-values030217 neurology & neurosurgeryF1000Research
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Una procedura sequenziale di stima di punto di cambiamento

2008

In this paper we propose a sequential procedure for the estimation of a change-point when a change has occurred in the distribution that governs the process which generates the observations. The procedure applies whether the distribution functions involved are completely specified or they contain unknown parameters to be estimated. The procedure is based on the Kolmogorov-Smirnov test of goodness of fit, or an appropriate different test such as the chi-square test, and satisfies the optimality condition defined by the maximization of the sum of the p-values involved.

Change point sequential estimation p-values optimality conditionSettore SECS-S/01 - Statistica
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Bayesian Checking of the Second Levels of Hierarchical Models

2007

Hierarchical models are increasingly used in many applications. Along with this increased use comes a desire to investigate whether the model is compatible with the observed data. Bayesian methods are well suited to eliminate the many (nuisance) parameters in these complicated models; in this paper we investigate Bayesian methods for model checking. Since we contemplate model checking as a preliminary, exploratory analysis, we concentrate on objective Bayesian methods in which careful specification of an informative prior distribution is avoided. Numerous examples are given and different proposals are investigated and critically compared.

FOS: Computer and information sciencesStatistics and ProbabilityModel checkingModel checkingComputer scienceconflictGeneral MathematicsBayesian probabilityMachine learningcomputer.software_genreMethodology (stat.ME)partial posterior predictivePrior probabilityStatistics - Methodologybusiness.industrymodel criticismProbability and statisticsExploratory analysisobjective Bayesian methodsempirical-Bayesposterior predictivep-valuesArtificial intelligenceStatistics Probability and Uncertaintybusinesscomputer
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