An efficient and flexible multiplicity adjustment for chi-square endpoints

This manuscript proposes a fast and efficient multiplicity adjustment that strictly controls the type I error for a family of high-dimensional chi-square distributed endpoints. The method is flexible and may be efficiently applied to chi-square distributed endpoints with any positive definite correl...

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Autores principales:	Amy Wagler, Melinda McCann
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	multiple comparisons simultaneous inference type i error control Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/876943596aee42279ffdc8082f45f782
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spelling	oai:doaj.org-article:876943596aee42279ffdc8082f45f7822021-11-08T03:01:20ZAn efficient and flexible multiplicity adjustment for chi-square endpoints10.3934/mbe.20212531551-0018https://doaj.org/article/876943596aee42279ffdc8082f45f7822021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021253?viewType=HTMLhttps://doaj.org/toc/1551-0018This manuscript proposes a fast and efficient multiplicity adjustment that strictly controls the type I error for a family of high-dimensional chi-square distributed endpoints. The method is flexible and may be efficiently applied to chi-square distributed endpoints with any positive definite correlation structure. Controlling the family-wise error rate ensures that the results have a high standard of credulity due to the strict limitation of type I errors. Numerical results confirm that this procedure is effective at controlling familywise error, is far more powerful than utilizing a Bonferroni adjustment, is more computationally feasible in high-dimensional settings than existing methods, and, except for highly correlated data, performs similarly to less accessible simulation-based methods. Additionally, since this method controls the family-wise error rate, it provides protection against reproducibility issues. An application illustrates the use of the proposed multiplicity adjustment to a large scale testing example.Amy Wagler Melinda McCann AIMS Pressarticlemultiple comparisonssimultaneous inferencetype i error controlBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 4971-4986 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multiple comparisons simultaneous inference type i error control Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	multiple comparisons simultaneous inference type i error control Biotechnology TP248.13-248.65 Mathematics QA1-939 Amy Wagler Melinda McCann An efficient and flexible multiplicity adjustment for chi-square endpoints
description	This manuscript proposes a fast and efficient multiplicity adjustment that strictly controls the type I error for a family of high-dimensional chi-square distributed endpoints. The method is flexible and may be efficiently applied to chi-square distributed endpoints with any positive definite correlation structure. Controlling the family-wise error rate ensures that the results have a high standard of credulity due to the strict limitation of type I errors. Numerical results confirm that this procedure is effective at controlling familywise error, is far more powerful than utilizing a Bonferroni adjustment, is more computationally feasible in high-dimensional settings than existing methods, and, except for highly correlated data, performs similarly to less accessible simulation-based methods. Additionally, since this method controls the family-wise error rate, it provides protection against reproducibility issues. An application illustrates the use of the proposed multiplicity adjustment to a large scale testing example.
format	article
author	Amy Wagler Melinda McCann
author_facet	Amy Wagler Melinda McCann
author_sort	Amy Wagler
title	An efficient and flexible multiplicity adjustment for chi-square endpoints
title_short	An efficient and flexible multiplicity adjustment for chi-square endpoints
title_full	An efficient and flexible multiplicity adjustment for chi-square endpoints
title_fullStr	An efficient and flexible multiplicity adjustment for chi-square endpoints
title_full_unstemmed	An efficient and flexible multiplicity adjustment for chi-square endpoints
title_sort	efficient and flexible multiplicity adjustment for chi-square endpoints
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/876943596aee42279ffdc8082f45f782
work_keys_str_mv	AT amywagler anefficientandflexiblemultiplicityadjustmentforchisquareendpoints AT melindamccann anefficientandflexiblemultiplicityadjustmentforchisquareendpoints AT amywagler efficientandflexiblemultiplicityadjustmentforchisquareendpoints AT melindamccann efficientandflexiblemultiplicityadjustmentforchisquareendpoints
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An efficient and flexible multiplicity adjustment for chi-square endpoints

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