Learning to Discover Various Simpson's Paradoxes

Wang, Jingwei; He, Jianshan; Xu, Wenfeng; Li, Ruopeng; Chu, Wei

doi:10.1145/3580305.3599859

Cited by 1 publication

(2 citation statements)

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“…It serves as a cautionary tale in the interpretation of statistical data, emphasizing the importance of considering confounding variables and the dangers of drawing conclusions based solely on aggregate data [9]. Over the years, the paradox has been examined from multiple perspectives, including its mathematical underpinnings, its impact on public policy, and its ethical implications [10,11]. The paradox has also been studied in the context of machine learning and data science, where it poses challenges in the interpretation of complex, multidimensional data [12].…”

Section: Introductionmentioning

confidence: 99%

“…Economists have also encountered the paradox when analyzing GDP and per capita GDP growths, leading to potentially misleading conclusions about economic progress [14]. Latest progress in the domain has centered on pinpointing the factors that can result in deceptive epidemiological and statistical findings because of the paradox [10]. Scholars have suggested models and loss functions for assessing the correlation between two variables within various subgroups, offering a more detailed comprehension of the paradox.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Simpson’s Paradox and Its Applications

Lei

2024

HSET

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As a matter of fact, the enigmatic nature and far-reaching consequences of Simpson's Paradox have captivated both scholars and professionals. On this basis, this investigation seeks to offer an exhaustive review of the paradox, examining its historical background, mathematical formulations, and its utilization in diverse sectors. To be specific, the study probes into how the paradox influences the efficacy of healthcare treatments, its contribution to sustaining gender inequality in educational settings like UC Berkeley, and the challenges it presents in analyzing data with multiple dimensions. The research also points out existing gaps in the literature, specifically the absence of methodical solutions for addressing the paradox in intricate, multi-faceted scenarios. Overall, the significance of this study lies in its multi-faceted exploration of Simpson's Paradox. It serves as a foundational text that aims to improve statistical literacy and promote a nuanced understanding of data interpretation, thereby contributing to better decision-making across multiple disciplines.

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