 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 | | 2003 | 0 | 2 | 2 | | 2004 | 0 | 1 | 1 | | 2005 | 1 | 1 | 2 | | 2011 | 0 | 2 | 2 | | 2012 | 0 | 1 | 1 | | 2013 | 0 | 1 | 1 | | 2016 | 1 | 1 | 2 | | 2018 | 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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Hall DA, Moore C, Comella C. Recruitment of patients with de novo Parkinson disease: successful strategies in a randomized exercise clinical trial. Trials. 2018 Nov 14; 19(1):630.
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Heo M, Litwin AH, Blackstock O, Kim N, Arnsten JH. Sample size determinations for group-based randomized clinical trials with different levels of data hierarchy between experimental and control arms. Stat Methods Med Res. 2017 Feb; 26(1):399-413.
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Heo M, Kim N, Rinke ML, Wylie-Rosett J. Sample size determinations for stepped-wedge clinical trials from a three-level data hierarchy perspective. Stat Methods Med Res. 2018 02; 27(2):480-489.
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Goetz CG, Stebbins GT, Chung KA, Hauser RA, Miyasaki JM, Nicholas AP, Poewe W, Seppi K, Rascol O, Stacy MA, Nutt JG, Tanner CM, Urkowitz A, Jaglin JA, Ge S. Which dyskinesia scale best detects treatment response? Mov Disord. 2013 Mar; 28(3):341-6.
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Tamhane AA, Arfanakis K, Anastasio M, Guo X, Vannier M, Gao JH. Rapid PROPELLER-MRI: a combination of iterative reconstruction and under-sampling. J Magn Reson Imaging. 2012 Nov; 36(5):1241-7.
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Ben Assayag E, Korczyn AD, Giladi N, Goldbourt U, Berliner AS, Shenhar-Tsarfaty S, Kliper E, Hallevi H, Shopin L, Hendler T, Baashat DB, Aizenstein O, Soreq H, Katz N, Solomon Z, Mike A, Usher S, Hausdorff JM, Auriel E, Shapira I, Bornstein NM. Predictors for poststroke outcomes: the Tel Aviv Brain Acute Stroke Cohort (TABASCO) study protocol. Int J Stroke. 2012 Jun; 7(4):341-7.
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Chen C, Grennan K, Badner J, Zhang D, Gershon E, Jin L, Liu C. Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods. PLoS One. 2011 Feb 28; 6(2):e17238.
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Jensen DM, Marcellin P. Rationale and design of the REPEAT study: a phase III, randomized, clinical trial of peginterferon alfa-2a (40 kDa) plus ribavirin in non-responders to peginterferon alfa-2b (12 kDa) plus ribavirin. Eur J Gastroenterol Hepatol. 2005 Sep; 17(9):899-904.
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Guimaraes P, Kieburtz K, Goetz CG, Elm JJ, Palesch YY, Huang P, Ravina B, Tanner CM, Tilley BC. Non-linearity of Parkinson's disease progression: implications for sample size calculations in clinical trials. Clin Trials. 2005; 2(6):509-18.
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Swanson B, Keithley JK, Zeller JM, Sha BE. Lack of association between dyslipidemia and insulin resistance in HIV-infected persons treated with highly active antiretroviral therapy. Nutrition. 2004 Nov-Dec; 20(11-12):1022-5.
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