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Logic diagrams: a visual tool with untapped potential

Nature Reviews Methods Primers volume 3, Article number: 21 (2023) Cite this article

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Logic diagrams are employed in electrical engineering for visualizing switching circuits. However, their utility and applicability extend far beyond the technical sciences. Here, we argue that natural and social scientists alike should consider using logic diagrams in their research. For certain analytical problems, logic diagrams are a perfect fit.

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Fig. 1: Logic diagrams relate a set of inputs to a set of outputs through a switching circuit.

References

  1. Wang, B. & Buck, M. Customizing cell signaling using engineered genetic logic circuits. Trends Microbiol. 20, 376–384 (2012).

    Article  Google Scholar 

  2. Goodwin, G. P. & Johnson-Laird, P. N. The acquisition of Boolean concepts. Trends Cogn. Sci. 17, 128–133 (2013).

    Article  Google Scholar 

  3. Thiem, A., Mkrtchyan, L., Haesebrouck, T. & Sanchez, D. Algorithmic bias in social research: a meta-analysis. PLoS ONE 15, e0233625 (2020).

    Article  Google Scholar 

  4. Rothman, K. J. Causes. Am. J. Epidemiol. 104, 587–592 (1976).

    Article  Google Scholar 

  5. Pearl, J. Causality: Models, Reasoning, and Inference 2nd edn (Cambridge University Press, 2009).

  6. Mackie, J. L. Causes and conditions. Am. Philos. Q. 2, 245–264 (1965).

    Google Scholar 

  7. Sawcer, S., Franklin, R. J. M. & Ban, M. Multiple sclerosis genetics. Lancet Neurol. 13, 700–709 (2014).

    Article  Google Scholar 

  8. Suls, J. & Green, P. A. Multimorbidity in health psychology and behavioral medicine. Health Psychol. 38, 769–771 (2019).

    Article  Google Scholar 

  9. Thiem, A., Mkrtchyan, L. & Sebechlebská, Z. Combinational Regularity Analysis (CORA) — a new method for uncovering complex causation in medical and health research. BMC Med. Res. Methodol. 22, 333 (2022).

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Lucerne, Lucerne, Switzerland

    Alrik Thiem, Zuzana Sebechlebská & Lusine Mkrtchyan

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  1. Alrik Thiem
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  2. Zuzana Sebechlebská
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  3. Lusine Mkrtchyan
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Correspondence to Alrik Thiem, Zuzana Sebechlebská or Lusine Mkrtchyan.

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Thiem, A., Sebechlebská, Z. & Mkrtchyan, L. Logic diagrams: a visual tool with untapped potential. Nat Rev Methods Primers 3, 21 (2023). https://doi.org/10.1038/s43586-023-00210-5

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