Fisher, Bradford Hill, and randomization
Fisher, Bradford Hill, and randomization
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DOI:
10.1093/ije/dyg286
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发表时间:
2003-12-01
影响因子:
7.7
通讯作者:
Armitage, P
中科院分区:
文献类型:
--
作者:
Armitage, P
925 apparently reasonable methods of avoiding allocation bias, such as alternation. He emphasized the distinction later and was able to put the method into practice in the trial of streptomycin in pulmonary tuberculosis and in the trial of pertussis vaccines planned earlier but published later. Let us now look in more detail at the reasons for randomization given by these two men. We should realize that Fisher was able to approach controlled experimentation with much stronger organizational support than Hill. Rothamsted had been the home of field trials for many decades, and his colleagues in the 1920s needed no persuasion of the need for simultaneous controlled comparisons. They knew better than to compare fertilizers on different fields, or to compare a particular variety one year with another variety in the previous year. The only question was how to allocate treatments to plots. By contrast, the case for controlled trials in medicine was far from secure in the late 1930s. Voices were certainly heard in praise of the pioneers of ‘fair’comparisons, such as Lind, but others advocated historical comparisons or argued that controlled allocation ignored the uniqueness of the individual and was perhaps unethical. So Hill had to make the general case for simultaneous control as well as the more specific case for randomization. Fisher repeatedly and consistently gave the same justification for randomization. In 19263 he wrote:One way of making sure that a valid estimate of error will be obtained is to arrange the plots deliberately at random, so that no distinction can creep in between pairs of plots treated alike and pairs treated differently; in such a case an estimate of error, derived in the usual way from the variation of sets of plots treated alike, may be applied to test the significance of the observed difference between the averages of plots treated differently.