 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 UAMS Profiles 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 |
|---|
| 2023 | 1 | 0 | 1 | | 2022 | 0 | 3 | 3 | | 2020 | 0 | 3 | 3 | | 2018 | 0 | 1 | 1 | | 2017 | 0 | 1 | 1 | | 2015 | 0 | 1 | 1 | | 2014 | 0 | 1 | 1 | | 2013 | 0 | 1 | 1 | | 2012 | 0 | 3 | 3 | | 2011 | 1 | 0 | 1 | | 2009 | 1 | 2 | 3 | | 2008 | 0 | 2 | 2 | | 2007 | 1 | 1 | 2 | | 2006 | 0 | 2 | 2 | | 2005 | 0 | 1 | 1 | | 2004 | 0 | 2 | 2 | | 2003 | 1 | 3 | 4 | | 1999 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Sample Size" by people in Profiles over the past ten years.
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Landes RD, Jurgensen KJ, Skinner WKJ, Spencer HJ, Cary L. Feasibility of Reducing Animal Numbers in Radiation Countermeasure Experiments from Historic Levels when using Sample Size Calculations. Radiat Res. 2023 08 01; 200(2):107-115.
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Chusyd DE, Austad SN, Brown AW, Chen X, Dickinson SL, Ejima K, Fluharty D, Golzarri-Arroyo L, Holden R, Jamshidi-Naeini Y, Landsittel D, Lartey S, Mannix E, Vorland CJ, Allison DB. From Model Organisms to Humans, the Opportunity for More Rigor in Methodologic and Statistical Analysis, Design, and Interpretation of Aging and Senescence Research. J Gerontol A Biol Sci Med Sci. 2022 11 21; 77(11):2155-2164.
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Young LW, Ounpraseuth S, Merhar SL, Simon AE, Das A, Greenberg RG, Higgins RD, Lee J, Poindexter BB, Smith PB, Walsh M, Snowden J, Devlin LA. Eating, Sleeping, Consoling for Neonatal Opioid Withdrawal (ESC-NOW): a Function-Based Assessment and Management Approach study protocol for a multi-center, stepped-wedge randomized controlled trial. Trials. 2022 08 09; 23(1):638.
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Golzarri-Arroyo L, Dickinson SL, Jamshidi-Naeini Y, Zoh RS, Brown AW, Owora AH, Li P, Oakes JM, Allison DB. Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters. Comput Methods Programs Biomed. 2022 Mar; 215:106654.
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Duan R, Luo C, Schuemie MJ, Tong J, Liang CJ, Chang HH, Boland MR, Bian J, Xu H, Holmes JH, Forrest CB, Morton SC, Berlin JA, Moore JH, Mahoney KB, Chen Y. Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J Am Med Inform Assoc. 2020 07 01; 27(7):1028-1036.
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Ejima K, Brown AW, Smith DL, Beyaztas U, Allison DB. Murine genetic models of obesity: type I error rates and the power of commonly used analyses as assessed by plasmode-based simulation. Int J Obes (Lond). 2020 06; 44(6):1440-1449.
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Tang J, Landes RD. Some t-tests for N-of-1 trials with serial correlation. PLoS One. 2020; 15(2):e0228077.
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Rando RJ, Vacek PM, Glenn RE, Kwon CW, Parker JE. Retrospective Assessment of Respirable Quartz Exposure for a Silicosis Study of the Industrial Sand Industry. Ann Work Expo Health. 2018 10 15; 62(8):1021-1032.
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Lopez L, Colan S, Stylianou M, Granger S, Trachtenberg F, Frommelt P, Pearson G, Camarda J, Cnota J, Cohen M, Dragulescu A, Frommelt M, Garuba O, Johnson T, Lai W, Mahgerefteh J, Pignatelli R, Prakash A, Sachdeva R, Soriano B, Soslow J, Spurney C, Srivastava S, Taylor C, Thankavel P, van der Velde M, Minich L. Relationship of Echocardiographic Z Scores Adjusted for Body Surface Area to Age, Sex, Race, and Ethnicity: The Pediatric Heart Network Normal Echocardiogram Database. Circ Cardiovasc Imaging. 2017 Nov; 10(11).
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Zheng J, Erzurumluoglu AM, Elsworth BL, Kemp JP, Howe L, Haycock PC, Hemani G, Tansey K, Laurin C, Pourcain BS, Warrington NM, Finucane HK, Price AL, Bulik-Sullivan BK, Anttila V, Paternoster L, Gaunt TR, Evans DM, Neale BM. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics. 2017 01 15; 33(2):272-279.
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Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. Brief Bioinform. 2016 05; 17(3):393-407.
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