Randomization and the design of experiments

Philosophy of Science 52 (2):256-273 (1985)
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Abstract

In clinical and agricultural trials, there is the danger that an experimental outcome appears to arise from the causal process or treatment one is interested in when, in reality, it was produced by some extraneous variation in the experimental conditions. The remedy prescribed by classical statisticians involves the procedure of randomization, whose effectiveness and appropriateness is criticized. An alternative, Bayesian analysis of experimental design, is shown, on the other hand, to provide a coherent and intuitively satisfactory solution to the problem

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Peter Urbach
London School of Economics

Citations of this work

Why Experimental Balance is Still a Reason to Randomize.David Teira & Marco Martinez - forthcoming - The British Journal for the Philosophy of Science.
What evidence in evidence-based medicine?John Worrall - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S316-S330.
What Evidence in Evidence‐Based Medicine?John Worrall - 2002 - Philosophy of Science 69 (S3):S316-S330.
Why There’s No Cause to Randomize.John Worrall - 2007 - British Journal for the Philosophy of Science 58 (3):451-488.
The Confounding Question of Confounding Causes in Randomized Trials.Jonathan Fuller - 2019 - British Journal for the Philosophy of Science 70 (3):901-926.

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References found in this work

Applications of Inductive Logic.L. Jonathan Cohen & Mary Hesse - 1981 - Revue Philosophique de la France Et de l'Etranger 171 (4):501-502.
Arguments for Randomizing.Patrick Suppes - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:464 - 475.

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