Cargando…

Statistical tests under Dallal’s model: Asymptotic and exact methods

This paper proposes asymptotic and exact methods for testing the equality of correlations for multiple bilateral data under Dallal’s model. Three asymptotic test statistics are derived for large samples. Since they are not applicable to small data, several conditional and unconditional exact methods...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhiming, Ma, Changxing, Ai, Mingyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704015/
https://www.ncbi.nlm.nih.gov/pubmed/33253215
http://dx.doi.org/10.1371/journal.pone.0242722
_version_ 1783616739825680384
author Li, Zhiming
Ma, Changxing
Ai, Mingyao
author_facet Li, Zhiming
Ma, Changxing
Ai, Mingyao
author_sort Li, Zhiming
collection PubMed
description This paper proposes asymptotic and exact methods for testing the equality of correlations for multiple bilateral data under Dallal’s model. Three asymptotic test statistics are derived for large samples. Since they are not applicable to small data, several conditional and unconditional exact methods are proposed based on these three statistics. Numerical studies are conducted to compare all these methods with regard to type I error rates (TIEs) and powers. The results show that the asymptotic score test is the most robust, and two exact tests have satisfactory TIEs and powers. Some real examples are provided to illustrate the effectiveness of these tests.
format Online
Article
Text
id pubmed-7704015
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-77040152020-12-03 Statistical tests under Dallal’s model: Asymptotic and exact methods Li, Zhiming Ma, Changxing Ai, Mingyao PLoS One Research Article This paper proposes asymptotic and exact methods for testing the equality of correlations for multiple bilateral data under Dallal’s model. Three asymptotic test statistics are derived for large samples. Since they are not applicable to small data, several conditional and unconditional exact methods are proposed based on these three statistics. Numerical studies are conducted to compare all these methods with regard to type I error rates (TIEs) and powers. The results show that the asymptotic score test is the most robust, and two exact tests have satisfactory TIEs and powers. Some real examples are provided to illustrate the effectiveness of these tests. Public Library of Science 2020-11-30 /pmc/articles/PMC7704015/ /pubmed/33253215 http://dx.doi.org/10.1371/journal.pone.0242722 Text en © 2020 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Zhiming
Ma, Changxing
Ai, Mingyao
Statistical tests under Dallal’s model: Asymptotic and exact methods
title Statistical tests under Dallal’s model: Asymptotic and exact methods
title_full Statistical tests under Dallal’s model: Asymptotic and exact methods
title_fullStr Statistical tests under Dallal’s model: Asymptotic and exact methods
title_full_unstemmed Statistical tests under Dallal’s model: Asymptotic and exact methods
title_short Statistical tests under Dallal’s model: Asymptotic and exact methods
title_sort statistical tests under dallal’s model: asymptotic and exact methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704015/
https://www.ncbi.nlm.nih.gov/pubmed/33253215
http://dx.doi.org/10.1371/journal.pone.0242722
work_keys_str_mv AT lizhiming statisticaltestsunderdallalsmodelasymptoticandexactmethods
AT machangxing statisticaltestsunderdallalsmodelasymptoticandexactmethods
AT aimingyao statisticaltestsunderdallalsmodelasymptoticandexactmethods