Can We Establish Causality with Statistical Analyses? The Example of Epidemiology
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As different dimensions of alcohol use impact upon cardiovascular outcomes, instrumental variable approaches such as Mendelian randomization cannot answer questions of causality easily, as they assume linear relations with one dimension.
“As different dimensions of alcohol use impact upon cardiovascular outcomes, instrumental variable approaches such as Mendelian randomization cannot answer questions of causality easily, as they assume linear relations with one dimension (for Mendelian randomizations studies see 259, 265; for a discussion of different dimensions of alcohol use with divergent predictions see 266).”
From The relationship between different dimensions of alcohol use and the burden of disease—an update (2017) · cites this paper as [266]
The assumptions of Mendelian randomization studies are problematic if two dimensions are to be analysed simultaneously with one instrumental variable.
“their assumptions are problematic if two dimensions are to be analysed simultaneously with one instrumental variable”
From The relationship between different dimensions of alcohol use and the burden of disease—an update (2017) · cites this paper as [266]
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- Authors
- Frick, U., & Rehm, J.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2016-06-07
- Pages
- 405-431
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2517438471
- Cited by
- 14
- References
- 101
- Citations by year
- 2024: 3 · 2023: 2 · 2021: 2 · 2019: 2 · 2018: 2 · 2017: 3
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Wiley series in probability and statistics (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Keywords
- causality, causal inference, statistical analysis, epidemiology, causal effect estimation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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