 Bias
"Bias" 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.
Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.
| Descriptor ID |
D015982
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| MeSH Number(s) |
N05.715.350.150 N06.850.490.500
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| Concept/Terms |
Bias- Bias
- Epidemiologic Biases
- Biase, Epidemiologic
- Biases, Epidemiologic
- Epidemiologic Biase
- Biases
- Bias, Epidemiologic
Ecological Bias- Ecological Bias
- Ecological Biases
- Bias, Ecological
- Fallacy, Ecological
- Ecological Fallacies
- Ecological Fallacy
- Fallacies, Ecological
- Biases, Ecological
Outcome Measurement Errors- Outcome Measurement Errors
- Error, Outcome Measurement
- Errors, Outcome Measurement
- Outcome Measurement Error
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Below are MeSH descriptors whose meaning is more general than "Bias".
Below are MeSH descriptors whose meaning is more specific than "Bias".
This graph shows the total number of publications written about "Bias" by people in this website by year, and whether "Bias" 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 |
|---|
| 1992 | 0 | 1 | 1 | | 1993 | 0 | 2 | 2 | | 1994 | 0 | 1 | 1 | | 1995 | 0 | 2 | 2 | | 1996 | 1 | 4 | 5 | | 1997 | 0 | 2 | 2 | | 1998 | 0 | 1 | 1 | | 1999 | 0 | 4 | 4 | | 2000 | 0 | 1 | 1 | | 2001 | 0 | 4 | 4 | | 2002 | 1 | 3 | 4 | | 2005 | 2 | 5 | 7 | | 2006 | 2 | 2 | 4 | | 2007 | 1 | 9 | 10 | | 2008 | 0 | 3 | 3 | | 2009 | 1 | 3 | 4 | | 2010 | 1 | 3 | 4 | | 2011 | 0 | 8 | 8 | | 2012 | 1 | 3 | 4 | | 2013 | 2 | 4 | 6 | | 2014 | 5 | 3 | 8 | | 2015 | 2 | 1 | 3 | | 2016 | 0 | 3 | 3 | | 2017 | 1 | 5 | 6 | | 2018 | 3 | 9 | 12 | | 2019 | 4 | 4 | 8 | | 2020 | 0 | 5 | 5 | | 2021 | 0 | 1 | 1 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Lexchin J, Bero LA, Davis C, Gagnon MA. Achieving greater independence from commercial influence in research. BMJ. 2021 03 09; 372:n370.
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Nejstgaard CH, Bero L, Hróbjartsson A, Jørgensen AW, Jørgensen KJ, Le M, Lundh A. Association between conflicts of interest and favourable recommendations in clinical guidelines, advisory committee reports, opinion pieces, and narrative reviews: systematic review. BMJ. 2020 12 09; 371:m4234.
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Nejstgaard CH, Bero L, Hróbjartsson A, Jørgensen AW, Jørgensen KJ, Le M, Lundh A. Conflicts of interest in clinical guidelines, advisory committee reports, opinion pieces, and narrative reviews: associations with recommendations. Cochrane Database Syst Rev. 2020 12 08; 12:MR000040.
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Schloss PD, Junior M, Alvania R, Arias CA, Baumler A, Casadevall A, Detweiler C, Drake H, Gilbert J, Imperiale MJ, Lovett S, Maloy S, McAdam AJ, Newton ILG, Sadowsky MJ, Sandri-Goldin RM, Silhavy TJ, Tontonoz P, Young JH, Cameron CE, Cann I, Fuller AO, Kozik AJ. The ASM Journals Committee Values the Contributions of Black Microbiologists. J Bacteriol. 2020 09 08; 202(19).
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Taylor KW, Wang Z, Walker VR, Rooney AA, Bero LA. Using interactive data visualization to facilitate user selection and comparison of risk of bias tools for observational studies of exposures. Environ Int. 2020 09; 142:105806.
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Crume TL, Duca LM, Ong T, Kraus E, Scott K, Khanna A, Kao D, Rausch CM, McKenzie L, Daley MF, Coleman S, Kahn MG, Costa E, Davidson AJ. Population-level surveillance of congenital heart defects among adolescents and adults in Colorado: Implications of record linkage. Am Heart J. 2020 08; 226:75-84.
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Bero L, Chiu K, Grundy Q. The SSSPIN study-spin in studies of spin: meta-research analysis. BMJ. 2019 Dec 18; 367:l6202.
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Pega F, Norris SL, Backes C, Bero LA, Descatha A, Gagliardi D, Godderis L, Loney T, Modenese A, Morgan RL, Pachito D, Paulo MBS, Scheepers PTJ, Schlünssen V, Sgargi D, Silbergeld EK, Sørensen K, Sutton P, Tenkate T, Torreão Corrêa da Silva D, Ujita Y, van Deventer E, Woodruff TJ, Mandrioli D. RoB-SPEO: A tool for assessing risk of bias in studies estimating the prevalence of exposure to occupational risk factors from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury. Environ Int. 2020 02; 135:105039.
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Newcomer SR, Xu S, Kulldorff M, Daley MF, Fireman B, Glanz JM. A primer on quantitative bias analysis with positive predictive values in research using electronic health data. J Am Med Inform Assoc. 2019 12 01; 26(12):1664-1674.
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Knapp EA, Bennett WL, Wilson RF, Zhang A, Tseng E, Cheskin LJ, Bass EB, Kharrazi H, Stuart EA. Methods and Risks of Bias in Natural Experiments in Obesity: Opportunities for the Future Informed by a Systematic Review. Obesity (Silver Spring). 2019 12; 27(12):1950-1957.
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