8.7 – Chapter 8 – References

References and suggested readings

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

Allison DB, Cui X, Page GP, 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 WS, Newman TB. (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/science/the-odds-continually-updated.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 LH, Hopfield JJ, Leibler S, Murray AW (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 M1, Dupont J, Ducos B, Leneuve P, Géloën A, Even PC, 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 MJ, Berk KN, Carlton MA (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 Stud52(1), 5-9.

Lehmann, EL (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, RS (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, Uri and Nelson, Leif D. and Simmons, Joseph 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


Chapter 8 contents