"Selection 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.
The introduction of error due to systematic differences in the characteristics between those selected and those not selected for a given study. In sampling bias, error is the result of failure to ensure that all members of the reference population have a known chance of selection in the sample.
| Descriptor ID |
D015983
|
| MeSH Number(s) |
N05.715.350.150.775 N06.850.490.500.500
|
| Concept/Terms |
Selection Bias- Selection Bias
- Bias, Selection
- Selection Biases
- Biases, Selection
Sampling Error- Sampling Error
- Error, Sampling
- Errors, Sampling
- Sampling Errors
Sampling Bias- Sampling Bias
- Bias, Sampling
- Sampling Biases
- Biases, Sampling
|
Below are MeSH descriptors whose meaning is more general than "Selection Bias".
Below are MeSH descriptors whose meaning is more specific than "Selection Bias".
This graph shows the total number of publications written about "Selection Bias" by people in this website by year, and whether "Selection Bias" was a major or minor topic of these publications.
To see the data from this visualization as text,
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| Year | Major Topic | Minor Topic | Total |
|---|
| 1999 | 0 | 1 | 1 |
| 2001 | 1 | 0 | 1 |
| 2002 | 0 | 2 | 2 |
| 2003 | 0 | 1 | 1 |
| 2004 | 0 | 1 | 1 |
| 2005 | 0 | 1 | 1 |
| 2009 | 0 | 1 | 1 |
| 2011 | 0 | 1 | 1 |
| 2012 | 1 | 0 | 1 |
| 2015 | 0 | 2 | 2 |
| 2018 | 0 | 1 | 1 |
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Below are the most recent publications written about "Selection Bias" by people in Profiles.
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Estimating the obstetric co-morbidity burden using administrative data: The impact of the pregnancy-related assessment window. Paediatr Perinat Epidemiol. 2020 07; 34(4):440-451.
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Selection bias, interventions and outcomes for survivors of cardiac arrest. Heart. 2018 08; 104(16):1356-1361.
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Recalibration of blood analytes over 25 years in the atherosclerosis risk in communities study: impact of recalibration on chronic kidney disease prevalence and incidence. Clin Chem. 2015 Jul; 61(7):938-47.
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Value of surgical resection in children with high-risk neuroblastoma. Pediatr Blood Cancer. 2015 Sep; 62(9):1529-35.
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Imputation for semiparametric transformation models with biased-sampling data. Lifetime Data Anal. 2012 Oct; 18(4):470-503.
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Recommendations to improve the accuracy of estimates of physical activity derived from self report. J Phys Act Health. 2012 Jan; 9 Suppl 1:S76-84.
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Adjusting a cancer mortality-prediction model for disease status-related eligibility criteria. BMC Med Res Methodol. 2011 May 11; 11:64.
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Comment: Analyzing propensity score matched count data. Int J Biostat. 2010; 6(1):Article 5.
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Multi-institutional validation of the predictive value of Ki-67 labeling index in patients with urinary bladder cancer. J Natl Cancer Inst. 2009 Jan 21; 101(2):114-9.
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New joint covariance- and marginal-based tests for association and linkage for quantitative traits for random and non-random sampling. Genet Epidemiol. 2005 Jan; 28(1):48-57.