Titulo:
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia
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0122-0268
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2022-07-31
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Yasin Altay, Ozgur Koskan, Hayati Koknaroglu - 2022
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Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia Altay, Yasin Koskan, Ozgur Koknaroglu, Hayati Effect size minimum number of animals sample size power analysis simulation Tamaño del efecto Número mínimo de animales Tamaño de la muestra Análisis de potencia simulación 27 2 Núm. 2 , Año 2022 : Revista MVZ Córdoba Volumen 27(2) Mayo-Agosto 2022 Artículo de revista Journal article 2022-07-31T22:38:42Z 2022-07-31T22:38:42Z 2022-07-31 application/pdf application/pdf application/zip application/zip text/xml text/xml audio/mpeg audio/mpeg Universidad de Córdoba Revista MVZ Córdoba 0122-0268 1909-0544 https://revistamvz.unicordoba.edu.co/article/view/2572 10.21897/rmvz.2572 https://doi.org/10.21897/rmvz.2572 https://creativecommons.org/licenses/by-nc-sa/4.0 Yasin Altay, Ozgur Koskan, Hayati Koknaroglu - 2022 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. e2572 e2572 Akobeng AK. Understanding type I and type II errors, statistical power and sample size. Acta Paediatrica. 2016; 105(6):605-609. https://doi.org/10.1111/apa.13384 Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole, C, Goodman SN, Altman DG. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 2016; 31(4):337-350. https://doi.org/10.1007/s10654-016-0149-3 Cohen J. Statistical power analysis: Current Directions in Psychological Science 1992; 1(3):98-101. https://doi.org/10.1111/1467-8721.ep10768783 Wilcox RR. ANOVA: A paradigm for low power and misleading measures of effect size?. Rev Educ Res. 1995; 65(1):51-77. https://doi.org/10.3102/00346543065001051 Kelley K, Rausch, JR. Sample size planning for the standardized mean difference: Accuracy in parameter estimation via narrow confidence intervals. Psychol Methods. 2006; 11(4):363–385. https://doi.org/10.1037/1082-989X.11.4.363 Houle TT, Penzien DB, Houle CK. Statistical power and sample size estimation for headache research: An overview and power calculation tools. Headache. 2005; 45(5):414-418. https://doi.org/10.1111/j.1526-4610.2005.05092.x Mascha EJ, Vetter TR. Significance, errors, power, and sample size: the blocking and tackling of statistics. Anesth Analg. 2018; 126(2):691-698. https://doi.org/10.1213/ANE.0000000000002741 Aslan E, Koşkan Ö, Altay Y. Determination of the Sample Size on Different Independent K Group Comparisons by Power Analysis. Turk Tarim Arast Derg. 2021; 8(1):34-41. https://doi.org/10.19159/tutad.792694 Szucs D, Ioannidis JP. Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals. NeuroImage. 2020; 221:117-164. https://doi.org/10.1016/j.neuroimage.2020.117164 Murphy KR. Myors B. Statistical power analysis: A simple and general model for traditional and modern hypothesis tests. Second Edition (2rd ed.). Mahwah, New Jersey, USA: Lawrence Erlbaum Associates Publishers; 2004. Lane SP, Hennes EP. Power struggles: Estimating sample size for multilevel relationships research. J Soc Pers Relat. 2018; 35(1):7-31. https://doi.org/10.1177/0265407517710342 Peterman RM. Statistical power analysis can improve fisheries research and management. Can J Fish Aquat Sci. 1990; 47(1):2–15. https://doi.org/10.1139/f90-001 Fairweather PG. Statistical power and design requirements for environmental monitoring. Mar Freshw Res. 1991; 42(5):555–567. https://doi.org/10.1071/MF9910555 Muller KE, Benignus VA. Increasing scientific power with statistical power. Neurotoxicol Teratol. 1992; 14(3):211–219. https://doi.org/10.1016/0892-0362(92)90019-7 Taylor BL, Gerrodette T. The uses of statistical power in conservation biology: the vaquita and northern spotted owl. Conserv Biol Ser. 1993; 7(3):489–500. https://doi.org/10.1046/j.1523-1739.1993.07030489.x Searcy-Bernal R. Statistical power and aquacultural research. Aquaculture. 1994; 127(4):371–388. https://doi.org/10.1016/0044-8486(94)90239-9 Thomas L, Juanes F. The importance of statistical power analysis: an example from animal behaviour. Anim. Behav. 1996; 52(4):856–859. https://doi.org/10.1006/anbe.1996.0232 Thomas L, Retrospective power analysis. Conservation Biology. Conservation Biology. 1997; 11(1):276-280. https://www.jstor.org/stable/2387304 Pinu FR, Beale DJ, Paten AM, Kouremenos K, Swarup S, Schirra HJ, Wishart D. Systems biology and multi-omics integration: viewpoints from the metabolomics research community. Metabolites. 2019; 9(4):76. https://doi.org/10.3390/metabo9040076 Hoenig JM, Heisey DM. The abuse of power: the pervasive fallacy of power calculations for data analysis. Am Stat. 2001; 55(1):19-24. https://doi.org/10.1198/000313001300339897 Faul F, Erdfelder E, Lang AG, Buchner AG. Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007; 39(2):175-191. https://doi.org/10.3758/BF03193146 La Rosa PS, Brooks JP, Deych E, Boone EL, Edwards DJ, Wang Q, Sodergren E, Weinstock G, Shannon WD. Hypothesis testing and power calculations for taxonomic-based human microbiome data. PloS One. 2012; 7(12):e52078. https://doi.org/10.1371/journal.pone.0052078 Fanelli D. Do pressures to publish increase scientists’ bias? An empirical support from US States Data. PloS One. 2010; 5(4):e10271. https://doi.org/10.1371/journal.pone.0010271 Abt G, Boreham C, Davison G, Jackson R, Nevill A, Wallacea E, Williamsa M. Power, precision, and sample size estimation in sport and exercise science research. J Sports Sci. 2020; 38(17):1993-1935. https://10.1080/02640414.2020.1776002 Lewis KP. Statistical power, sample sizes, and the software to calculate them easily. BioScience. 2006; 56(7):607-612. https://doi.org/10.1641/0006-3568(2006)56[607:SPSSAT]2.0.CO;2 Zar JH. Biostatistical Analysis: Pearson New International Edition. New Jersey, NJ, USA: Pearson Higher Edition; 2013. Hartley HO. The maximum F-ratio as a short-cut test for heterogeneity of variance. Biometrika. 1950; 37(3/4):308-312. https://doi.org/10.2307/2332383 Pearson ES, Hartley HO. Charts of the power function for analysis of variance tests, derived from the non-central F-distribution. Biometrika. 1951; 38(1/2):112-130. https://doi.org/10.2307/2332321 Başpınar E. Gürbüz F, The power of the test in comparing samples of different sample sizes taken from binary combinations of Normal, Beta, Gamma (Chi-square) and Weibull distributions. J Agric Sci. 2000; 6(1):116-127. https://doi.org/10.1501/Tarimbil_0000000940 Lenth RV. Statistical power calculations. J Anim Sci. 2007; 85(13):24-29. https://doi.org/10.2527/jas.2006-449 Başpınar E, Type I error and power of the test obtained by applying Student’s t, Welch and sorted t-tests on two samples of different sample sizes taken from normal populations with different variance ratios. J Anim Sci. 2001; 7(1):151-157. https://doi.org/10.1501/Tarimbil_0000000271 Koşkan Ö, Gürbüz F. Resampling approach and power of t-test and comparison of type I error. J Anim Prod. 2008; 49(1):29-37. https://dergipark.org.tr/en/pub/hayuretim/issue/7617/99817 Kalaycioğlu O, Akhanli SE. The importance and main principles of power analysis in health research: Application examples on medical case studies. Turk J Public Health. 2020;. 18(1):103-112. https://doi.org/10.20518/tjph.602400 Mewhort, DJ, A comparison of the randomization test with the F test when error is skewed. Behav Res Methods. 2005; 37(3):426-435. https://doi.org/10.3758/BF03192711 https://revistamvz.unicordoba.edu.co/article/download/2572/4026 https://revistamvz.unicordoba.edu.co/article/download/2572/4027 https://revistamvz.unicordoba.edu.co/article/download/2572/4708 https://revistamvz.unicordoba.edu.co/article/download/2572/4709 https://revistamvz.unicordoba.edu.co/article/download/2572/4710 https://revistamvz.unicordoba.edu.co/article/download/2572/4711 https://revistamvz.unicordoba.edu.co/article/download/2572/4028 https://revistamvz.unicordoba.edu.co/article/download/2572/4029 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
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UNIVERSIDAD DE CORDOBA |
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https://nuevo.metarevistas.org/UNIVERSIDADDECORDOBA/logo.png |
country_str |
Colombia |
collection |
Revista MVZ Córdoba |
title |
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia |
spellingShingle |
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia Altay, Yasin Koskan, Ozgur Koknaroglu, Hayati Effect size minimum number of animals sample size power analysis simulation Tamaño del efecto Número mínimo de animales Tamaño de la muestra Análisis de potencia simulación |
title_short |
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia |
title_full |
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia |
title_fullStr |
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia |
title_full_unstemmed |
Determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia |
title_sort |
determinación del número mínimo de animales al comparar las medias de tratamiento mediante análisis de potencia |
author |
Altay, Yasin Koskan, Ozgur Koknaroglu, Hayati |
author_facet |
Altay, Yasin Koskan, Ozgur Koknaroglu, Hayati |
topic |
Effect size minimum number of animals sample size power analysis simulation Tamaño del efecto Número mínimo de animales Tamaño de la muestra Análisis de potencia simulación |
topic_facet |
Effect size minimum number of animals sample size power analysis simulation Tamaño del efecto Número mínimo de animales Tamaño de la muestra Análisis de potencia simulación |
citationvolume |
27 |
citationissue |
2 |
citationedition |
Núm. 2 , Año 2022 : Revista MVZ Córdoba Volumen 27(2) Mayo-Agosto 2022 |
publisher |
Universidad de Córdoba |
ispartofjournal |
Revista MVZ Córdoba |
source |
https://revistamvz.unicordoba.edu.co/article/view/2572 |
language |
|
format |
Article |
rights |
https://creativecommons.org/licenses/by-nc-sa/4.0 Yasin Altay, Ozgur Koskan, Hayati Koknaroglu - 2022 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_6501 |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
publishDate |
2022-07-31 |
date_accessioned |
2022-07-31T22:38:42Z |
date_available |
2022-07-31T22:38:42Z |
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https://revistamvz.unicordoba.edu.co/article/view/2572 |
url_doi |
https://doi.org/10.21897/rmvz.2572 |
issn |
0122-0268 |
eissn |
1909-0544 |
doi |
10.21897/rmvz.2572 |
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e2572 |
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