 Reproducibility of Results
"Reproducibility of Results" 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 statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
| Descriptor ID |
D015203
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| MeSH Number(s) |
E05.318.780.725 E05.337.851 N05.715.360.780.685 N06.850.520.445.725
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| Concept/Terms |
Test-Retest Reliability- Test-Retest Reliability
- Reliabilities, Test-Retest
- Reliability, Test-Retest
- Test Retest Reliability
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Below are MeSH descriptors whose meaning is more general than "Reproducibility of Results".
Below are MeSH descriptors whose meaning is more specific than "Reproducibility of Results".
This graph shows the total number of publications written about "Reproducibility of Results" by people in this website by year, and whether "Reproducibility of Results" 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 |
|---|
| 1990 | 0 | 7 | 7 | | 1991 | 0 | 11 | 11 | | 1992 | 0 | 9 | 9 | | 1993 | 0 | 6 | 6 | | 1994 | 0 | 15 | 15 | | 1995 | 2 | 21 | 23 | | 1996 | 0 | 19 | 19 | | 1997 | 1 | 18 | 19 | | 1998 | 0 | 19 | 19 | | 1999 | 0 | 37 | 37 | | 2000 | 0 | 38 | 38 | | 2001 | 0 | 19 | 19 | | 2002 | 0 | 33 | 33 | | 2003 | 0 | 51 | 51 | | 2004 | 1 | 67 | 68 | | 2005 | 2 | 69 | 71 | | 2006 | 0 | 74 | 74 | | 2007 | 0 | 86 | 86 | | 2008 | 1 | 106 | 107 | | 2009 | 1 | 85 | 86 | | 2010 | 0 | 86 | 86 | | 2011 | 0 | 125 | 125 | | 2012 | 0 | 111 | 111 | | 2013 | 0 | 122 | 122 | | 2014 | 0 | 119 | 119 | | 2015 | 1 | 112 | 113 | | 2016 | 3 | 122 | 125 | | 2017 | 3 | 94 | 97 | | 2018 | 0 | 58 | 58 | | 2019 | 0 | 4 | 4 |
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Below are the most recent publications written about "Reproducibility of Results" by people in Profiles.
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Curran ML, Martin EE, Thomas EC, Singh R, Armana S, Kauser A, Zaheer EA, Sherry DD. The pediatric rheumatology objective structured clinical examination: progressing from a homegrown effort toward a reliable and valid national formative assessment. Pediatr Rheumatol Online J. 2019 Feb 08; 17(1):5.
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Pollard R, Leppert M, Rawson C, Boehnke M, Honce J, Nagae L, Poisson S, Nyberg E. A Clinical Paradigm for Classifying Neurologic Symptoms to Screen for Emergent Large Vessel Occlusions. J Stroke Cerebrovasc Dis. 2019 Apr; 28(4):929-934.
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Khwaja R, Dessouky R, Heffler MA, Xi Y, Neeland IJ, Chhabra A. Multi-compartment mesenchymal tissue segmentation in pelvic MRI examinations of women: Anthropomorphic and clinical correlations. Eur J Radiol. 2019 Mar; 112:37-43.
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Collins BJ, Slade D, Ryan K, Mathias R, Shan A, Algaier J, Aillon K, Waidyanatha S. Development and Validation of an Analytical Method to Quantitate Tris(chloroisopropyl)phosphate in Rat and Mouse Plasma using Gas Chromatography with Flame Photometric Detection. J Anal Toxicol. 2019 Jan 01; 43(1):36-44.
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Lac A, Luk JW. Development and validation of the Adult Interpersonal Acceptance-Rejection Scale: Measuring mother, best friend, and romantic partner acceptance. Psychol Assess. 2019 Mar; 31(3):340-351.
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Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLoS Med. 2018 11; 15(11):e1002703.
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Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, Duan T, Ding D, Bagul A, Langlotz CP, Patel BN, Yeom KW, Shpanskaya K, Blankenberg FG, Seekins J, Amrhein TJ, Mong DA, Halabi SS, Zucker EJ, Ng AY, Lungren MP. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 2018 11; 15(11):e1002686.
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Petukhova VZ, Young AN, Wang J, Wang M, Ladanyi A, Kothari R, Burdette JE, Sanchez LM. Whole Cell MALDI Fingerprinting Is a Robust Tool for Differential Profiling of Two-Component Mammalian Cell Mixtures. J Am Soc Mass Spectrom. 2019 Feb; 30(2):344-354.
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Beckman M, Washam MC, DeBurger B, Haslam DB, Courter JD, Andersen H, Schaffzin JK, Tchou MJ, Ankrum A, Mortensen J. Reliability of the Verigene system for the identification for Gram-positive Bacteria and detection of antimicrobial resistance markers from children with bacteremia. Diagn Microbiol Infect Dis. 2019 Mar; 93(3):191-195.
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Wojcik GL, Fuchsberger C, Taliun D, Welch R, Martin AR, Shringarpure S, Carlson CS, Abecasis G, Kang HM, Boehnke M, Bustamante CD, Gignoux CR, Kenny EE. Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies. G3 (Bethesda). 2018 10 03; 8(10):3255-3267.
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