One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries

Gilberto Capistrano; Célia Nunes; Dário Ferreira; Sandra S. Ferreira; João T. Mexia

doi:10.1063/1.4912416

One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries

Gilberto Capistrano, Célia Nunes, Dário Ferreira, Sandra S. Ferreira, João T. Mexia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

ANOVA is routinely used in many situations, namely in medical research, where the sample sizes may not be previously known. This leads us to consider the samples sizes as realizations of random variables. The aim of this paper is to extend one-way random effects ANOVA to those situations and apply our results to a Brazilian database on cancer registries.

Original language	English
Title of host publication	Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014
Publisher	AIP - American Institute of Physics
Volume	1648
ISBN (Electronic)	978-0-7354-1287-3
DOIs	https://doi.org/10.1063/1.4912416
Publication status	Published - 10 Mar 2015
Event	International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014 - Rhodes, Greece Duration: 22 Sept 2014 → 28 Sept 2014

Conference

Conference	International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014
Country/Territory	Greece
City	Rhodes
Period	22/09/14 → 28/09/14

Keywords

Cancer registries
F-tests
Random effects model
Random sample sizes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1063/1.4912416Licence: Unspecified

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Capistrano, G., Nunes, C., Ferreira, D., Ferreira, S. S., & Mexia, J. T. (2015). One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries. In Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014 (Vol. 1648). Article 110009 AIP - American Institute of Physics. https://doi.org/10.1063/1.4912416

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title = "One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries",

abstract = "ANOVA is routinely used in many situations, namely in medical research, where the sample sizes may not be previously known. This leads us to consider the samples sizes as realizations of random variables. The aim of this paper is to extend one-way random effects ANOVA to those situations and apply our results to a Brazilian database on cancer registries.",

keywords = "Cancer registries, F-tests, Random effects model, Random sample sizes",

author = "Gilberto Capistrano and C{\'e}lia Nunes and D{\'a}rio Ferreira and Ferreira, {Sandra S.} and Mexia, {Jo{\~a}o T.}",

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doi = "10.1063/1.4912416",

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booktitle = "Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014",

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Capistrano, G, Nunes, C, Ferreira, D, Ferreira, SS & Mexia, JT 2015, One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries. in Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014. vol. 1648, 110009, AIP - American Institute of Physics, International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014, Rhodes, Greece, 22/09/14. https://doi.org/10.1063/1.4912416

One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries. / Capistrano, Gilberto; Nunes, Célia; Ferreira, Dário et al.
Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014. Vol. 1648 AIP - American Institute of Physics, 2015. 110009.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mexia, João T.

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AB - ANOVA is routinely used in many situations, namely in medical research, where the sample sizes may not be previously known. This leads us to consider the samples sizes as realizations of random variables. The aim of this paper is to extend one-way random effects ANOVA to those situations and apply our results to a Brazilian database on cancer registries.

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One-way random effects ANOVA with random sample sizes: An application to a Brazilian database on cancer registries

Abstract

Conference

Keywords

UN SDGs

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