Alexander F, Roberts M M, Lutz W, Hepburn W
Medical Statistics Unit, University of Edinburgh.
J Epidemiol Community Health. 1989 Mar;43(1):29-36. doi: 10.1136/jech.43.1.29.
For randomised population trials the unit of randomisation is normally the individual person. In some situations, however, investigators take other groups as basic unit and one such design is cluster randomisation. Considerable attention has been given to this design recently in statistical and epidemiological literature. The Edinburgh randomised trial of breast cancer screening is an example which takes general practices as clusters of patients. The experience of this trial is reported here. Mortality from all causes, cardiovascular disease and lung cancer over the first 5 year period of follow up are examined. We found that spurious mortality differences were present in the analyses, which do not allow for socio-economic status. From examination of methods of adjusting for this, we conclude that allowance can be made at the analysis stage, and it is intended that this approach will be adopted when breast cancer mortality is analysed in the Edinburgh trial. Nevertheless, we recommend that for future studies with outcome related to socio-economic status, randomisations which use this design be stratified by socio-economic criteria where this is feasible.
对于随机人群试验,随机化单位通常是个体。然而,在某些情况下,研究者将其他群体作为基本单位,一种这样的设计就是整群随机化。最近,统计和流行病学文献中对这种设计给予了相当多的关注。爱丁堡乳腺癌筛查随机试验就是一个以全科医疗作为患者群组的例子。本文报告了该试验的经验。对随访的前5年期间所有原因、心血管疾病和肺癌的死亡率进行了检查。我们发现在分析中存在虚假的死亡率差异,这是由于未考虑社会经济地位所致。通过对调整此因素的方法进行研究,我们得出结论,可在分析阶段进行调整,并且打算在爱丁堡试验分析乳腺癌死亡率时采用这种方法。尽管如此,我们建议对于未来与社会经济地位相关结局的研究,在可行的情况下,采用这种设计的随机化应按社会经济标准进行分层。