Key Articles/Chapters for the Summer Seminar in Phil Stat

Barnett (1999). Comparative Statistical Inference (Chapter 6: Bayesian Inference), John Wiley & Sons.

Benjamin, Berger, Johannesson et al (2017) Redefine Statistical Significance, Nature Human Behaviour 2, 6-10.

Berger, J. (2003). Could Fisher, Jeffreys and Neyman have Agreed on Testing?  Stat Sci 18: 1-12.

Berger, J. (2006). The Case for Objective Bayesian Analysis and Rejoinder, Bayesian Analysis 1(3), 385–402; 457–64.

Berger, J. & Sellke (1987). Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence (with Discussion and Rejoinder), Journal of the American Statistical Association 82(397), 112–22; 135–9.

Bernardo, J. (1997). Non-informative Priors Do Not Exist: A Dialogue with Jose M. Bernardo, Journal of Statistical Planning and Inference 65(1), 159-77.

Casella & R. Berger (1987a). Reconciling Bayesian and Frequentist Evidence in the One-sided Testing Problem, Journal of the American Statistical Association 82(397), 106–11.

Casella, G. and Berger, R. (1987b). Comment on Testing Precise Hypotheses by J. O. Berger and M. Delampady, Statistical Science 2(3), 344–7.

Edwards, Lindman & Savage E, L, & S (1963). Bayesian Statistical Inference for Psychological Research, Psychological Review 70(3), 193–242.

Efron (2013) A 250-Year Argument: Belief, Behavior, and the Bootstrap, Bulletin of the American Mathematical Society 50(1), 126–46. (15)

Fisher (1955), Statistical Methods and Scientific Induction, J R Stat Soc (B) 17: 69-78.

Gelman & Hennig (2017). Beyond Subjective and Objective in Statistics, Journal of the Royal Statistical Society: Series A 180(4), 967–1033.

Gelman & Shalizi (2013). Philosophy and the Practice of Bayesian Statistics (with discussion), Brit. J. Math. Stat. Psy. 66(1): 5-64.

Gigerenzer and Marewski (2017). Surrogate Science: The Idol of a Universal Method for Scientific Inference, Journal of management 41(2), 421-40.

Goodman (1993). P-values, Hypothesis Tests, and Likelihood-Implications for Epidemiology of a Neglected Historical Debate, American Journal of Epidemiology 137(5), 485–96.

Greenland & Poole (2013). Living with P Values: Resurrecting a Bayesian Perspective on Frequentist Statistics and Rejoinder: Living with Statistics in Observational Research, Epidemiology 24(1), 62–8; 73–8. Gelman comment.

Hacking (1980). The Theory of Probable Inference: Neyman, Peirce and Braithwaite, in Mellor, D. (ed.), Science, Belief and Behavior: Essays in Honour of R. B. Braithwaite, Cambridge: Cambridge University Press, pp. 141–60.

Howson (2017). Putting on the Garber Style? Better Not, Philosophy of Science 84(4), 659-76.

Hubbard & Bayarri (2003). Confusion Over Measures of Evidence versus Errors and Rejoinder, The American Statistician 57(3), 171-8; 181-2.

Ioannidis (2005). Why most published research findings are false. PLoS Med 2(8): e124.

Kadane (2016). Beyond Hypothesis Testing, Entropy 18(5), article 199, 1–5.

Kass (2011). Statistical Inference: The Big Picture (with discussion and rejoinder), Statistical Science 26(1), 1–20.

Lakens et al (2018) Justify Your Alpha Nature Human Behaviour 2, 168-71.

Lambert & Black (2012). Learning From Our GWAS Mistakes: From Experimental Design to Scientific Method, Biostatistics 13(2), 195–203.

Levelt Committee, Noort Committee, Drenth Committee (2012). Flawed Science: The Fraudulent Research Practices of Social Psychologist Diederik Stapel, Stapel Investigation: Joint Tilburg/Groningen/Amsterdam investigation of the publications by Mr. Stapel (www.commissielevelt.nl/).

Lindley (2000). The Philosophy of Statistics (with Discussion), Journal of the Royal Statistical Society: Series D 49(3), 293–337.

Neyman (1956). Note on an Article by Sir Ronald Fisher, J R Stat Soc (B) 18: 288-294.

Neyman (1977). Frequentist Probability and Frequentist Statistics, Synthese 36(1), 97–131.

Neyman & Pearson (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses, Philosophical Transactions of the Royal Society of London Series A 231, 289–337. Reprinted in Joint Statistical Papers, 140–85.

Pearson (1955). Statistical Concepts in Their Relation to Reality, J R Stat Soc (B) 17: 204-207.

Pearson & Chandra Sekar (1936). ‘The Efficiency of Statistical Tools and a Criterion for the Rejection of Outlying Observations’, Biometrika 28 (3/4), 308–20. Reprinted 1966 in The Selected Papers of E. S. Pearson, pp. 118–30.

Popper (1962). Conjectures and Refutations: The Growth of Scientific Knowledge. Basic Books.

Simmons, Nelson & Simonsohn (2012). ‘A 21 word solution’, Dialogue: The Official Newsletter of the Society for Personality and Social Psychology 26(2), 4–7.

A larger list of articles and references here.