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Effect of age-based left-digit bias on stroke diagnosis: Regression discontinuity design

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  • Fukuma, Shingo
  • Ikesu, Ryo
  • Iizuka, Toshiaki
  • Tsugawa, Yusuke

Abstract

Little is known about how left-digit bias— where humans tend to discretely categorize their decisions based on the left-most digit of the continuous variables—based on patients’ age affects the initial diagnosis of stroke patients. The aim of this study is to examine whether there is a discontinuous change in the ordering of imaging tests for stroke at the age threshold of 40 years old, which is indicative of left-digit bias, and whether the effect varies by patient sex.

Suggested Citation

  • Fukuma, Shingo & Ikesu, Ryo & Iizuka, Toshiaki & Tsugawa, Yusuke, 2023. "Effect of age-based left-digit bias on stroke diagnosis: Regression discontinuity design," Social Science & Medicine, Elsevier, vol. 334(C).
    • Handle: RePEc:eee:socmed:v:334:y:2023:i:c:s0277953623005506
    DOI: 10.1016/j.socscimed.2023.116193
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