A seguir, você encontrará uma seleção de artigos e livros que tratam de planejamento experimental, análise estatística e reprodutibilidade na ciência. Sugestões de referências relevantes que venham a se juntar a essa lista serão muito bem-vindas!
Amrhein, V., & Greenland, S. (2018). Remove, rather than redefine, statistical significance. Nature Human Behaviour, 2(1), 4-4. doi:10.1038/s41562-017-0224-0
Amrhein, V., Greenland, S., & McShane, B. (2019). Retire statistical significance. Nature, 567(7748), 305-307. doi:10.1038/d41586-019-00857-9
Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E. J., Berk, R., . . . Johnson, V. E. (2018). Redefine statistical significance. Nature Human Behaviour, 2(1), 6-10. doi:10.1038/s41562-017-0189-z
Fidler, F., Thomason, N., Cumming, G., Finch, S., & Leeman, J. (2004). Editors can lead researchers to confidence intervals, but can’t make them think – Statistical reform lessons from medicine. Psychological Science, 15(2), 119-126. doi:10.1111/j.0963-7214.2004.01502008.x
Ioannidis, J. P. A. (2005). Why most published research findings are false. Plos Medicine, 2(8), 696-701. doi:10.1371/journal.pmed.0020124
Lakens, D., Adolfi, F. G., Albers, C. J., Anvari, F., Apps, M. A. J., Argamon, S. E., . . . Zwaan, R. A. (2018). Justify your alpha. Nature Human Behaviour, 2(3), 168-171. doi:10.1038/s41562-018-0311-x
Lazic, S. E. (2016) Experimental Design for Laboratory Biologists. Cambridge; [United Kingdom]: Cambridge University Press.
Leek, J. (2017). Five ways to fix statistics. Nature, 551(7682), 557-+.
Montgomery, D. C. (2009). Design and analysis of experiments (7th ed. ed.). Hoboken, N.J.: Wiley.
Munafo, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., du Sert, N. P., . . . Ioannidis, J. P. A. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1(1), 9. doi:10.1038/s41562-016-0021
Nagy, G. A., Fang, C. M., Hish, A. J., Kelly, L., Nicchitta, C. V., Dzirasa, K., & Rosenthal, M. Z. (2019). Burnout and Mental Health Problems in Biomedical Doctoral Students. Cbe-Life Sciences Education, 18(2), 14. doi:10.1187/cbe.18-09-0198
Oehlert, G. W. (2000). A first course in design and analysis of experiments. New York ; [United Kingdom]: W.H. Freeman.
Pashler, H., & Harris, C. R. (2012). Is the Replicability Crisis Overblown? Three Arguments Examined. Perspectives on Psychological Science, 7(6), 531-536. doi:10.1177/1745691612463401
Wilson, S. L. et al. (2021). Sharing biological data: why, when, and how, FEBS Letters 595, 847–863 (https://febs.onlinelibrary.wiley.com/doi/full/10.1002/1873-3468.14067)
Smaldino, P. E., & McElreath, R. (2016). The natural selection of bad science. Royal Society Open Science, 3(9), 17. doi:10.1098/rsos.160384
Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a World Beyond “p < 0.05”. American Statistician, 73, 1-19. doi:10.1080/00031305.2019.1583913
