David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
In H. W. de Regt, S. Hartmann & S. Okasha (eds.), EPSA Philosophy of Science: Amsterdam 2009, The European Philosophy of Science Association Proceedings Vol. 1, 375-386. Springer. 375--386 (2012)
Stopping rules — rules dictating when to stop accumulating data and start analyzing it for the purposes of inferring from the experiment — divide Bayesians, Likelihoodists and classical statistical approaches to inference. Although the relationship between Bayesian philosophy of science and stopping rules can be complex (cf. Steel 2003), in general, Bayesians regard stopping rules as irrelevant to what inference should be drawn from the data. This position clashes with classical statistical accounts. For orthodox statistics, stopping rules do matter to what inference should be drawn from the data. "The dispute over stopping rule is far from being a marginal quibble, but is instead a striking illustration of the divergence of fundamental aims and standards separating Bayesians and advocates of orthodox statistical methods" (Steel 2004, 195) ...
|Keywords||Experiments RCT Statistical evidence and inference Error-statistics Bayesians|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Michael Hamrell (2010). Raising Suspicions with the Food and Drug Administration: Detecting Misconduct. Science and Engineering Ethics 16 (4):697-704.
Reidar K. Lie (1984). The Use of Interval Estimators as a Basis for Decision-Making in Medicine. Theoretical Medicine and Bioethics 5 (3).
Jan Sprenger (2009). Evidence and Experimental Design in Sequential Trials. Philosophy of Science 76 (5):637-649.
Jeremy Sugarman (2004). Using Empirical Data to Inform the Ethical Evaluation of Placebo Controlled Trials. Science and Engineering Ethics 10 (1):29-35.
Joseph Berkovitz (2002). On Causal Inference in Determinism and Indeterminism. In Harald Atmanspacher & Robert C. Bishop (eds.), Between Chance and Choice: Interdisciplinary Perspectives on Determinism. Thorverton Uk: Imprint Academic. 237--278.
David Teira (2011). Bayesian Versus Frequentist Clinical Trials. In Gifford Fred (ed.), Philosophy of Medicine [Handbook of Philosophy of Science, vol. 16],. Elsevier.
David Buchanan & Franklin G. Miller (2005). Principles of Early Stopping of Randomized Trials for Efficacy: A Critique of Equipoise and an Alternative Nonexploitation Ethical Framework. Kennedy Institute of Ethics Journal 15 (2):161-178.
Daniel Steel (2003). A Bayesian Way to Make Stopping Rules Matter. Erkenntnis 58 (2):213--227.
Erik Malmqvist, Niklas Juth, Niels Lynöe & Gert Helgesson (2011). Early Stopping of Clinical Trials: Charting the Ethical Terrain. Kennedy Institute of Ethics Journal 21 (1):51-78.
Roger Stanev (2011). Statistical Decisions and the Interim Analyses of Clinical Trials. Theoretical Medicine and Bioethics 32 (1):61-74.
Added to index2010-04-02
Total downloads41 ( #42,358 of 1,102,993 )
Recent downloads (6 months)1 ( #297,567 of 1,102,993 )
How can I increase my downloads?