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ASA关于p-值的声明：背景、过程和目的 被引量：3

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摘要 2014年2月,M ount Holyoke College的荣誉退休教授George Cobb在ASA的一个论坛上提出了以下问题：
作者 Ronald L.Wasserstein Nicole A.Lazar 方积乾
出处 《中国卫生统计》 CSCD 北大核心 2016年第3期548-549,共2页 Chinese Journal of Health Statistics
关键词 ASA 退休教授 社会科学界 理事会成员 统计学家 教育评估 Goodman 零假设 选举过程 统计推断
分类号 R195.1 [医药卫生—卫生统计学]
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参考文献11

  • 1American Statistical Association(2010) ," ASA Statement on Risk- Limiting Post ElectionAudits," available at http ://www. amstat, org/poli- cy/pdfs/Risk-Limiting_Endorsement, pdf.
  • 2Siegfried,T. (2010), "Odds Are,It's Wrong: Science fails to face the shortcomings of statistics, "ScienceNews, 177,26, available at https :// www. sciencenews, org/article/odds-are-its-wrong.
  • 3Johnson, V. E. (2013) ," Uniformly most powerful Bayesian tests," Annals of Statistics,41,1716-1741.
  • 4Phys. org Science News Wire( 2013 ) ," The problem with p values: how significant are they, really?" available at http ://phys. org/wire-news/ 145707973/the-problem-with-p-values-howsignificant -are-they -really. html.
  • 5Gelman, A. , and Loken, E. (2014), "The Statistical Crisis in Sci- ence [ online ] ," AmericanScientist,102. Available at http://www, american- scientist, org/issues/feature/2014/6/thestatistical-cdsis-in-science.
  • 6Leek,J. (2014), "On the scalability of statistical procedures: why the p-value bashers just don'tget it," Simply Statistics blog, available at ht- tp ://simplystatistics. org/2014/02/14/on-thescalability-of-statistical-pro- cedures-why-the-p-value-bashers-just-dont -get-it/.
  • 7Nuzzo, R. ( 2014 ), "Scientific Method: statistical errors", Nature, 506,150-152, available athttp ://www. nature, corn/news/scientific-meth- od- statistical-errors-1. 14700.
  • 8Morganstein, D., and Wasserstein, R. ( 2014 ), "ASA Statement on Value-Added Models, "Statistics and Public Policy, 1,108-110, available at http://amstat, tandfonline, comJdoi/full/10. 1080/2330443X. 2014. 956906.
  • 9Siegfried,T. (2014) ,"To make science better,watch out for statis- tical flaws," ScienceNews, available at https://www, sciencenews, org/ blog/context/make- science-better-watch-out -statisticalflaws.
  • 10Peng,R. (2015) ," The reproducibility crisis in science:A statisti- cal counterattack," Significance, 12 ( 3 ), 30-32.

同被引文献7

引证文献3

二级引证文献8

中国卫生统计
2016年 第3期

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