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  1. Jan 8, 2024 · The definition of the exposure summaries first requires assumptions on the temporal dependency between exposure and outcomes, determined by underlying biological mechanisms.

  2. May 3, 2022 · We provide a framework for conceptualising exposuresusceptibility interactions, where they obscure, confound, induce or counteract one another, providing some well-known examples for each complicating mechanism.

    • Amy R. Sweeny, Gregory F. Albery
    • 03 May 2022
    • 3
    • 36, Issue7
  3. Jul 11, 2012 · Retaining participants in cohort studies with multiple follow-up waves is difficult. Commonly, researchers are faced with the problem of missing data, which may introduce biased results as well as a loss of statistical power and precision.

    • Amalia Karahalios, Amalia Karahalios, Laura Baglietto, Laura Baglietto, John B Carlin, Dallas R Engl...
    • 2012
  4. Feb 21, 2020 · The scenario in Table 1, classification D, provides a hypothetical example of study data that yield an overestimate despite nondifferential misclassification of exposure in probability. But, a single example does not provide information regarding how commonly such results may occur or why.

    • Brian W Whitcomb, Ashley I Naimi
    • 2020
  5. A study's conceptual basis should serve as the foundation for developing an operational definition of exposure. That is, if the objective of the study is to examine the impact of chronic use of a new medication on patient outcomes, then the measurement of exposure should match this goal.

    • Todd A Lee, A Simon Pickard
    • 2013/01
    • 2013
  6. Jul 1, 2009 · Inherited epigenetic changes have been proposed as an explanation for the “missing heritability,” meaning inherited causes of risk of complex genetic diseases that have not yet been identified in genomewide association studies (GWAS) (Maher 2008; McCarthy and Hirschhorn 2008).

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  8. Jun 21, 2021 · Missing values can be caused by features failing to be measured in some of the samples, a frequent scenario in proteomics and metabolomics data, or by detection difficulties inherent to the ...

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