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.
Publication Year: 1994
Publication Date: 1994-06-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 123
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