When is bonferroni used




















Select basic ads. Create a personalised ads profile. Select personalised ads. Apply market research to generate audience insights. Measure content performance. Develop and improve products. List of Partners vendors. Your Money. Personal Finance. Your Practice. Popular Courses. Fundamental Analysis Tools for Fundamental Analysis.

What Is the Bonferroni Test? Key Takeaways The Bonferroni test is a statistical test used to reduce the instance of a false positive. In particular, Bonferroni designed an adjustment to prevent data from incorrectly appearing to be statistically significant.

J Nonparametr Stat. A year follow-up of a large cohort of patients with primary biliary cirrhosis seen at a single Centre.

Liver Int. Article PubMed Google Scholar. Metabolic syndrome associated with primary biliary cirrhosis. J Clin Gastroenterol. Permuting longitudinal data in spite of the dependencies. J Multivar Anal. Dig Liver Dis. Digestive Liver Diseas.

Galimberti S, Valsecchi MG. Multivariate permutation test to compare survival curves for matched data. Giacalone M. The use of permutation tests on large-sized datasets. ISBN: Does the iodized salt therapy of pregnant mothers increase the children IQ? Empirical evidence of a statistical study based on permutation tests. Qual Quant. Holm S. A simple sequentially rejective multiple test procedure.

Scand J Stat. Janssen A. Studentized permutation tests for non-iid hypotheses and the generalized Behrens-fisher problem. Stat Probabil Lett. Testing marginal homogeneity against stochastic order in multivariate ordinai data. Research Group. A case-control study to detect genetic and acquired risk factors for pediatric inflammatory bowel disease.

Ludbrook J, Dudley H. Why permutation tests are superior to t and F tests in biomedicai research. Am Stat. Opdyke JD. A computational approach to compare regression modelling strategies in prediction research. Technical challenges for big data in biomedicine and health: data sources, infrastructure, and analytics. Yearbook of Medicai Informatica.

Pesarin F. Multivariate Permutation Test. Chichester: Wiley and Sons; Pesarin F, Salmaso L. Aust J Statistica. Permutation Tests for Complex Data. Theory, Applications and Software a. Book Google Scholar. Finite-sample consistency of combination-based permutation tests with application to repeated measures designs.

The permutation testing approach: a review. Stat Comput. Permutation tests: multivariate. The clinical use of statistical permutation test methodology: a tool for identifying predective variables of outcome. Urol Int. Epidemiological aspects of inflammatory bowel disease in a north Italian population: a 4 year prospective study. Eur J Gastroenterol Hepatol.

Fast function-on-scalar regression with penalized basis expansions. Int J Biostat. Rezzani A. Big Data. Architettura , tecnologie e metodi per l'utilizzo di grandi basi di dati; Apogeo education, Maggioli Editore, Milano; Roy SN. On heuristic method of test construction and its use in multivariate analysis. Ann Math Stat. Royston P, Altman DG. External validation of a cox prognostic model: principles and methods.

Rubin DB. Evaluations of the optimal discovery procedure for multiple testing. Salmaso L. Permutation tests in screening two-level factorial experiments.

Adv App Stat. Model-based recursive partitioning for subgroup analyses. Statistical methods for comparative phenomics using high-throughput phenotype microarrays. Incidence of inflammatory bowel disease in Italy: a nationwide population-based study. J Gastroenterol. Zirilli A, Alibrandi A. A permutation solution to compare two hepatocellular carcinoma markers.

JP J Biostat. The alteration of t,t -muconic acid and s-phenilmercapturic acid levels due to benzene exposure: an application of NPC test. JP J of Biostat. Download references. You can also search for this author in PubMed Google Scholar. All the authors have developed the idea and designed the methodological aspects of the paper, showing a novel and innovative empirical study. They have given the same effort in the data analysis and statistical methods. GM gave his contribution in the data analysis, developing the comparison of the nonparametric techniques, ensuring the adequacy of the methodologies to data; ZA made contributions to the conception and paper design, ensuring that questions related to the accuracy and integrity of any part of the work were appropriately investigated and resolved; CPC has been involved in drafting of the manuscript, revising it critically for important intellectual contents and statistical methodology evaluations; AA gave her contribution in the acquisition of data working with medical teams in the results interpretation, providing also a general supervision of the research group.

You could not be signed in, please check and try again. Sign in with your library card Please enter your library card number. Show Summary Details Overview Bonferroni correction. Bonferroni correction n. All rights reserved. Sign in to annotate.

Delete Cancel Save. The purpose of this article was to survey the use of the Bonferroni correction in research articles published in three optometric journals, viz. Recent findings: Some authors ignored the problem of multiple testing while others used the method uncritically with no rationale or discussion.



0コメント

  • 1000 / 1000