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The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies
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“If a continuous confounder is grouped, residual confounding may occur, whereby some of the variable's confounding effect remains unadjusted for (see Box 5 ) [ 62 , 89 ].”
From Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007) · cites this paper as [89]
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Anderson, S., Auquier, A., Hauck, W. W., Oakes, D., Vandaele, W., & Weisberg, H. I. (1980) · Wiley series in probability and statistics · doi:10.1002/9780470316498.ch6 · Cited by 4
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Metadata
- Authors
- Cochran, W. G.
- Corresponding author
- Cochran, W. G.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1968-06
- Volume
- 24
- Issue
- 2
- Pages
- 295
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W4297791620
- Cited by
- 961
- References
- 0
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 22 · 2023: 23 · 2022: 28 · 2021: 34 · 2020: 56 · 2019: 41 · 2018: 44 · 2017: 44 · 2016: 40 · 2015: 33 · 2014: 53 · 2013: 39 · 2012: 58
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- subclassification, bias mitigation, observational studies, confounding, stratified analysis
- MeSH terms
- Aged, Biometry, Humans, Male, Methods, Middle Aged, Mortality, Smoking
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