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  • Sjolander, A, et al. (author)
  • Sibling Comparison Studies
  • 2022
  • In: ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION. - : Annual Reviews. - 2326-8298 .- 2326-831X. ; 9, s. 71-94
  • Journal article (other academic/artistic)abstract
    • Unmeasured confounding is one of the main sources of bias in observational studies. A popular way to reduce confounding bias is to use sibling comparisons, which implicitly adjust for several factors in the early environment or upbringing without requiring them to be measured or known. In this article we provide a broad exposition of the statistical analysis methods for sibling comparison studies. We further discuss a number of methodological challenges that arise in sibling comparison studies.
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Type of publication
journal article (1)
Type of content
other academic/artistic (1)
Author/Editor
Sjolander, A (1)
Frisell, T (1)
Oberg, S (1)
University
Karolinska Institutet (1)
Language
English (1)
Year
2022 (1)

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