The virtues of randomization

British Journal for the Philosophy of Science 45 (2):437-450 (1994)
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Abstract

Peter Urbach has argued, on Bayesian grounds, that experimental randomization serves no useful purpose in testing causal hypothesis. I maintain that he fails to distinguish general issues of statistical inference from specific problems involved in identifying causes. I concede the general Bayesian thesis that random sampling is inessential to sound statistical inference. But experimental randomization is a different matter, and often plays an essential role in our route to causal conclusions.

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David Papineau
King's College London

Citations of this work

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.

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References found in this work

Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
Probabilistic Causality Emancipated.John Dupré - 1984 - Midwest Studies in Philosophy 9 (1):169-175.

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