Three Recommendations for Improving the Use of p-Values
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DOI: 10.1080/00031305.2018.1543135
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Cited by:
- Eleni Verykouki & Christos T. Nakas, 2023. "Adaptations on the Use of p -Values for Statistical Inference: An Interpretation of Messages from Recent Public Discussions," Stats, MDPI, vol. 6(2), pages 1-13, April.
- Anthony Sinyangwe & Bruce Mwiya & John Lungu, 2024. "Effects of Regulatory Environment on the Performance of Small-Scale Mining Enterprises: Evidence from Zambia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 3429-3446, August.
- Bibhas Chakraborty, 2020. "Statistical Remedies for Medical Researchers," International Statistical Review, International Statistical Institute, vol. 88(3), pages 802-804, December.
- Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
- Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
- Ana Escudero & Mᵃ Oliva Lago & Cristina Dopico, 2022. "Gender Similarities in the Mathematical Performance of Early School-Age Children," Mathematics, MDPI, vol. 10(17), pages 1-24, August.
- Michał Marcin Kobierecki & Michał Pierzgalski, 2022. "Sports Mega-Events and Economic Growth: A Synthetic Control Approach," Journal of Sports Economics, , vol. 23(5), pages 567-597, June.
- Wickes, Ron, 2021. "Trade deficits and trade conflict: The United States and Japan," Japan and the World Economy, Elsevier, vol. 60(C).
- Ma, Zichen & Hanson, Timothy E., 2020. "Bayesian nonparametric test for independence between random vectors," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
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