Cited by 565Advanced Causal Inference TechniquesStatistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Confounding by Indication in Clinical Research

Kyriacou, Demetrios N., Lewis, Roger J.·2016·JAMA

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Registry

Crossref · 10.1001/jama.2016.16435

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8 of 8 references verified0 citation errors · 0 not checkable

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  • In that study, a single variant rs162724 proximal to GRM7 and previously associated with major depressive disorder was found to potentially be of interest as an effect modifier of statin response.

    “Polygenic scores did not identify any effect-modifying genetic groups; however, a single variant (rs162724) proximal to the glutamate receptor gene GRM7 and previously associated with major depressive disorder was found to potentially be of interest.”

    From Mendelian randomization (2022) · cites this paper as [148]

  • In a drug-target MR study by Xu and Burgess, polygenic scores did not identify any effect-modifying genetic groups for the response of LDL-cholesterol levels to statin treatment.

    “Polygenic scores did not identify any effect-modifying genetic groups; however, a single variant (rs162724) proximal to the glutamate receptor gene GRM7 and previously associated with major depressive disorder was found to potentially be of interest.”

    From Mendelian randomization (2022) · cites this paper as [148]

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Authors
Kyriacou, D. N., & Lewis, R. J.
Affiliations
  • Northwestern University (US)
  • University of California, Los Angeles (US)
Venue
JAMA
Published
2016-11-01
Volume
316
Issue
17
Pages
1818
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2545458768
Cited by
565
References
8
Citations by year
2026: 111 · 2025: 63 · 2024: 68 · 2023: 69 · 2022: 60 · 2021: 60 · 2020: 50 · 2019: 35 · 2018: 30 · 2017: 17 · 2016: 2
FWCI
28.37
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords
confounding by indication, treatment allocation, confounding, clinical trials, observational studies
MeSH terms
Humans, Research Design, Bias, Confounding Factors, Epidemiologic, Biomedical Research

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