上周推送了关于P值的新的描述方法博文（P值--不能废除，但应有新表述！）之后，受到各路人马关注。远在美国的一代昆虫学、博物学大佬曾昱大师给鄙人发消息提醒，上述所涉论文发表后Trends in Ecology & Evolution接连发表了4篇评论和回应论文。这些文章中，有的言辞相当激烈，观点对立严重，足见P值争议之大。

     这里，连同TREE上后续发表的4篇争鸣论文，加上近年来发表的其他6篇相关论文，一起凑成关于P值争议的10篇论文，供大家更系统的学习，批判，参考！

1）Murtaugh, P. A. In defense of P values. Ecology 95, 611-617, doi:https://doi.org/10.1890/13-0590.1(2014).

2） Dushoff, J., Kain, M. P. & Bolker, B. M. I can see clearly now: Reinterpreting statistical significance. Methods Ecol. Evol. 10, 756-759, doi:https://doi.org/10.1111/2041-210X.13159(2019).

3） Halsey, L. G. The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum? Biol. Letters 15, 20190174, doi:10.1098/rsbl.2019.0174 (2019).

4） Claridge-Chang, A. & Assam, P. N. Estimation statistics should replace significance testing. Nature Methods 13, 108-109, doi:10.1038/nmeth.3729 (2016).

5） Held, L. & Ott, M. On p-Values and Bayes Factors. Annual Review of Statistics and Its Application 5, 393-419, doi:https://doi.org/10.1146/annurev-statistics-031017-100307(2018).

6） Hartig, F. & Barraquand, F. The evidence contained in the P-value is context dependent. Trends Ecol. Evol.37, 569-570, doi:https://doi.org/10.1016/j.tree.2022.02.011(2022).

7） Lakens, D. Why P values are not measures of evidence. Trends Ecol. Evol. 37, 289-290, doi:https://doi.org/10.1016/j.tree.2021.12.006(2022).

8）Muff, S., Nilsen, E. B., O’Hara, R. B. & Nater, C. R. Response to ‘Why P values are not measures of evidence’ by D. Lakens.Trends Ecol. Evol. 37, 291-292, doi:https://doi.org/10.1016/j.tree.2022.01.001(2022).

9） Muff, S., Nilsen, E. B., Nater, C. R. & O’Hara, R. B. Joint reply to 'Rewriting results in the language of compatibility' by V. Amrhein and S. Greenland, and to 'The evidence contained in the P-value is context dependent' by F. Hartig and F. Barraquand. Trends Ecol. Evol. 37, 571-572, doi:https://doi.org/10.1016/j.tree.2022.03.007(2022).

10） McShane, B. B., Gal, D., Gelman, A., Robert, C. & Tackett, J. L. Abandon Statistical Significance. The American Statistician 73, 235-245, doi:10.1080/00031305.2018.1527253 (2019).