Discussion on "statistical solutions for interdisciplinary problem-solving".
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| Title: | Discussion on "statistical solutions for interdisciplinary problem-solving". |
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| Authors: | Guo, Qing1 (AUTHOR), Xie, Kexin1 (AUTHOR) kexinx@vt.edu, Deng, Xinwei1 (AUTHOR) xdeng@vt.edu |
| Source: | Quality Engineering. 2026, Vol. 38 Issue 1, p47-51. 5p. |
| Subjects: | Interdisciplinary research, Statisticians, Quantitative research, Malaria, Cooperativeness, Prediction models |
| Abstract: | The article discusses the role of statisticians in interdisciplinary problem-solving, emphasizing the integration of technical skills and effective communication. It highlights three key areas where statisticians contribute: the development of statistical methods for interdisciplinary challenges, modernization of classical concepts to address contemporary issues, and the application of predictive analytics for informed decision-making. The authors illustrate these points through examples, including the BOHEMIA project, which aims to combat malaria transmission using ivermectin and showcases the necessity of collaboration across various fields such as public health, entomology, and economics. The article underscores the importance of interdisciplinary approaches in enhancing the effectiveness of statistical applications in real-world scenarios. [Extracted from the article] |
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| Database: | Engineering Source |
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| Abstract: | The article discusses the role of statisticians in interdisciplinary problem-solving, emphasizing the integration of technical skills and effective communication. It highlights three key areas where statisticians contribute: the development of statistical methods for interdisciplinary challenges, modernization of classical concepts to address contemporary issues, and the application of predictive analytics for informed decision-making. The authors illustrate these points through examples, including the BOHEMIA project, which aims to combat malaria transmission using ivermectin and showcases the necessity of collaboration across various fields such as public health, entomology, and economics. The article underscores the importance of interdisciplinary approaches in enhancing the effectiveness of statistical applications in real-world scenarios. [Extracted from the article] |
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| ISSN: | 08982112 |
| DOI: | 10.1080/08982112.2025.2512777 |
