"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.
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Year | Major Topic | Minor Topic | Total |
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2007 | 0 | 1 | 1 |
2017 | 0 | 1 | 1 |
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Below are the most recent publications written about "Bias" by people in Profiles.
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Dong YH, Alcusky M, Maio V, Liu J, Liu M, Wu LC, Chang CH, Lai MS, Gagne JJ. Evidence of potential bias in a comparison of ß blockers and calcium channel blockers in patients with chronic obstructive pulmonary disease and acute coronary syndrome: results of a multinational study. BMJ Open. 2017 03 31; 7(3):e012997.
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McLerran D, Grizzle WE, Feng Z, Thompson IM, Bigbee WL, Cazares LH, Chan DW, Dahlgren J, Diaz J, Kagan J, Lin DW, Malik G, Oelschlager D, Partin A, Randolph TW, Sokoll L, Srivastava S, Srivastava S, Thornquist M, Troyer D, Wright GL, Zhang Z, Zhu L, Semmes OJ. SELDI-TOF MS whole serum proteomic profiling with IMAC surface does not reliably detect prostate cancer. Clin Chem. 2008 Jan; 54(1):53-60.