 Sample Size
"Sample Size" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95)
| Descriptor ID |
D018401
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| MeSH Number(s) |
E05.318.780.762 E05.581.500.902 N05.715.360.780.692 N06.850.520.445.762
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| Concept/Terms |
Sample Size- Sample Size
- Sample Sizes
- Size, Sample
- Sizes, Sample
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Below are MeSH descriptors whose meaning is more general than "Sample Size".
Below are MeSH descriptors whose meaning is more specific than "Sample Size".
This graph shows the total number of publications written about "Sample Size" by people in this website by year, and whether "Sample Size" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1998 | 0 | 1 | 1 | | 1999 | 0 | 2 | 2 | | 2000 | 0 | 2 | 2 | | 2001 | 0 | 1 | 1 | | 2002 | 1 | 3 | 4 | | 2003 | 0 | 4 | 4 | | 2004 | 0 | 4 | 4 | | 2005 | 0 | 3 | 3 | | 2006 | 0 | 5 | 5 | | 2007 | 2 | 2 | 4 | | 2008 | 0 | 3 | 3 | | 2009 | 0 | 2 | 2 | | 2010 | 0 | 2 | 2 | | 2011 | 0 | 2 | 2 | | 2012 | 2 | 11 | 13 | | 2013 | 3 | 7 | 10 | | 2014 | 0 | 3 | 3 | | 2015 | 0 | 2 | 2 | | 2016 | 1 | 10 | 11 | | 2017 | 0 | 3 | 3 | | 2018 | 0 | 2 | 2 | | 2019 | 0 | 1 | 1 | | 2020 | 0 | 3 | 3 | | 2021 | 0 | 1 | 1 | | 2022 | 0 | 1 | 1 |
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Below are the most recent publications written about "Sample Size" by people in Profiles.
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Ortega-Del Vecchyo D, Lohmueller KE, Novembre J. Haplotype-based inference of the distribution of fitness effects. Genetics. 2022 04 04; 220(4).
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Ngiam WXQ, Adam KCS, Quirk C, Vogel EK, Awh E. Estimating the statistical power to detect set-size effects in contralateral delay activity. Psychophysiology. 2021 05; 58(5):e13791.
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Hoban S, Callicrate T, Clark J, Deans S, Dosmann M, Fant J, Gailing O, Havens K, Hipp AL, Kadav P, Kramer AT, Lobdell M, Magellan T, Meerow AW, Meyer A, Pooler M, Sanchez V, Spence E, Thompson P, Toppila R, Walsh S, Westwood M, Wood J, Griffith MP. Taxonomic similarity does not predict necessary sample size for ex situ conservation: a comparison among five genera. Proc Biol Sci. 2020 05 13; 287(1926):20200102.
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Basson AR, LaSalla A, Lam G, Kulpins D, Moen EL, Sundrud MS, Miyoshi J, Ilic S, Theriault BR, Cominelli F, Rodriguez-Palacios A. Artificial microbiome heterogeneity spurs six practical action themes and examples to increase study power-driven reproducibility. Sci Rep. 2020 03 19; 10(1):5039.
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Asif H, Alliey-Rodriguez N, Keedy S, Tamminga CA, Sweeney JA, Pearlson G, Clementz BA, Keshavan MS, Buckley P, Liu C, Neale B, Gershon ES. GWAS significance thresholds for deep phenotyping studies can depend upon minor allele frequencies and sample size. Mol Psychiatry. 2021 06; 26(6):2048-2055.
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Guo W, Ji Y, Li D. R-TPI: rolling toxicity probability interval design to shorten the duration and maintain safety of phase I trials. J Biopharm Stat. 2019; 29(3):411-424.
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Wyss AB, Sofer T, Lee MK, Terzikhan N, Nguyen JN, Lahousse L, Latourelle JC, Smith AV, Bartz TM, Feitosa MF, Gao W, Ahluwalia TS, Tang W, Oldmeadow C, Duan Q, de Jong K, Wojczynski MK, Wang XQ, Noordam R, Hartwig FP, Jackson VE, Wang T, Obeidat M, Hobbs BD, Huan T, Gui H, Parker MM, Hu D, Mogil LS, Kichaev G, Jin J, Graff M, Harris TB, Kalhan R, Heckbert SR, Paternoster L, Burkart KM, Liu Y, Holliday EG, Wilson JG, Vonk JM, Sanders JL, Barr RG, de Mutsert R, Menezes AMB, Adams HHH, van den Berge M, Joehanes R, Levin AM, Liberto J, Launer LJ, Morrison AC, Sitlani CM, Celedón JC, Kritchevsky SB, Scott RJ, Christensen K, Rotter JI, Bonten TN, Wehrmeister FC, Bossé Y, Xiao S, Oh S, Franceschini N, Brody JA, Kaplan RC, Lohman K, McEvoy M, Province MA, Rosendaal FR, Taylor KD, Nickle DC, Williams LK, Burchard EG, Wheeler HE, Sin DD, Gudnason V, North KE, Fornage M, Psaty BM, Myers RH, O'Connor G, Hansen T, Laurie CC, Cassano PA, Sung J, Kim WJ, Attia JR, Lange L, Boezen HM, Thyagarajan B, Rich SS, Mook-Kanamori DO, Horta BL, Uitterlinden AG, Im HK, Cho MH, Brusselle GG, Gharib SA, Dupuis J, Manichaikul A, London SJ. Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function. Nat Commun. 2018 07 30; 9(1):2976.
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Cox NJ, Below JE. Critical Evaluation of Data Requires Rigorous but Broadly Based Statistical Inference. Circ Res. 2018 04 13; 122(8):1049-1051.
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Polley MC. Power estimation in biomarker studies where events are already observed. Clin Trials. 2017 Dec; 14(6):621-628.
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Koch E, Novembre J. A Temporal Perspective on the Interplay of Demography and Selection on Deleterious Variation in Humans. G3 (Bethesda). 2017 03 10; 7(3):1027-1037.
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