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8.7: Chapter 8 References and Suggested Readings

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Abelson, RP (1995) Statistics As Principled Argument. Taylor & Francis.

Allison, D. B., Cui, X., Page, G. P., Sabripour, M. (2006). Microarray data analysis: from disarray to consolidation and consensus. Nature Reviews. Genetics 7(1):55-65

Benjamin, D. J., et al. (2017). Redefine statistical significance. Nature Human Behaviour, 1.

Browner, W. S., Newman, T. B. (1987). Are all significant P values created equal? The analogy between diagnostic tests and clinical research. Journal of American Medical Association 257:2459-2463.

Campbell, P., Baker, W. L., Bendel, S. D., & White, W. B. (2011). Intravenous hydralazine for blood pressure management in the hospitalized patient: its use is often unjustified. Journal of the American Society of Hypertension, 5(6), 473-477.

Carlson, B. (2012). Putting Oncology Patients at Risk. Biotechnology Healthcare 9(3): 17–21.

Cohen, J. (2016). The earth is round (p<. 05). In What if there were no significance tests? (pp. 69-82), edited by L.L. Harlow, S. A. Mulaik, J. H. Steiger. Routledge.

Cowles, M. & Davis, C. (1982). On the origins of the .05 level of statistical significance. American Psychologist 37:553-558.

Cox, D. R. (1982). Statistical significance testing. British Journal of Clinical Pharmacology 14(3):325-331.

Curran-Everett, D. (2009). Explorations in statistics: hypothesis tests and P values. Advances in Physiology Education 33:81-86.

DeVita VT, Chu E (2008) A history of cancer chemotherapy. Cancer Research 68:8643-8653

Draghici, Sorin and Khatri, Purvesh and Eklund, Aron C. and Szallasi, Zoltan (2006) Reliability and reproducibility issues in DNA microarray measurements. Trends in Genetics 22:101-109

Flam, F. D. (2014, Sept 29). The Odds, Continually Updated. The New York Times, Retrieved from https://www.nytimes.com/2014/09/30/s...ated.html?_r=0

Fontana, L., Weiss, E. P., Villarea, D. T., Klein, S., Holloszy, J. O. (2008). Long-term effects of calorie or protein restriction on serum IGF-1 and IGFBP-3 concentration in humans. Aging Cell 7(5):681–687.

Goodman, S. (2008). A dirty dozen: twelve p-value misconceptions. Seminars in Hematology 45:135-140

Greenland, S., Poole, C. (2012). Living with P values: Resurrecting a Bayesian perspective on frequentist statistics. Epidemiology 24:62-68.

Hartwell, L. H., Hopfield, J. J., Leibler, S., Murray, A. W. (1999). From molecular to modular cell biology. Nature 402: C47-C52.

Held, L. (2010). A nomogram for P values. BMC Medical Research Methodology 10:21.

Holzenberger, M. I., Dupont, J., Ducos, B., Leneuve, P., Géloën, A., Even, P. C., Cervera, P., Le Bouc, Y. (2003). IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice. Nature 421(6919):182-187.

Hubbard, R., Bayarri, M. J., Berk, K. N., Carlton, M. A. (2003). Confusion over measures of evidence (p’s) versus errors (σ’s) in classical statistical testing. American Statistician 57:171-182.

Ioannidis, J. P. (2005). Why most published research findings are false. PLoS Med. 2:e124. doi: 10.1371/journal.pmed.0020124

Lang, T. A., & Altman, D. G. (2015). Basic statistical reporting for articles published in biomedical journals: the “Statistical Analyses and Methods in the Published Literature” or the SAMPL Guidelines. Int J Nurs Stud, 52(1), 5-9.

Lehmann, E. L. (1992). The Fisher, Neyman-Pearson theories of testing hypotheses: One theory or two. Journal of the American Statistical Association 88:1242-1249.

Mukherjee, S. (2011). The emperor of all maladies: A biography of cancer. Scribner.

Nickerson, R. S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods 5(2):241-301.

Platt, J. R. (1964). Strong Inference. Science 146:347-353

Ryle, A. (2006). The relevance of evolutionary psychology for psychotherapy. British Journal of Psychotherapy 21(3):375-388.

Savalei, V., Dunn, E. (2015). Is the call to abandon p-values the red-herring of the replicability crisis? Frontiers in Psychology 6:245.

Selke, T., Bayarri, M. J., Berger, J. O. (2001). Calibration of p values for testing precise null hypotheses. The American Statistician 55(2):62-71.

Simonsohn, U., Nelson, L. D., Simmons, J. P. (2014). P-curve: a key to the file-drawer. Journal of Experimental Psychology: General 143:534-547.

Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond “p< 0.05”. The American Statistician 73, 2019 – Issue sup1: Statistical Inference in the 21st Century.

Whitley, E, and J. Ball (2002). Statistics review 3: Hypothesis testing and P-values. Critical Care 6:222-225.


This page titled 8.7: Chapter 8 References and Suggested Readings is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Michael R Dohm via source content that was edited to the style and standards of the LibreTexts platform.

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