Randomization and the design of experiments

Philosophy of Science 52 (2):256-273 (1985)
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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DOI 10.1086/289243
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John Worrall (2002). What Evidence in Evidence-Based Medicine? Proceedings of the Philosophy of Science Association 2002 (3):S316-S330.
Adam La Caze (2008). Evidence-Based Medicine Can't Be…. Social Epistemology 22 (4):353 – 370.

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