Veazie Peter J
Department of Community and Preventive Medicine, University of Rochester, 601 Elmwood Ave., Box 644, Rochester, NY 14642, USA.
Health Serv Res. 2006 Jun;41(3 Pt 1):804-18. doi: 10.1111/j.1475-6773.2006.00512.x.
To provide guidelines for identifying composite hypotheses and addressing the probability of false rejection for multiple hypotheses.
Examples from the literature in health services research are used to motivate the discussion of composite hypothesis tests and multiple hypotheses.
This article is a didactic presentation.
It is not rare to find mistaken inferences in health services research because of inattention to appropriate hypothesis generation and multiple hypotheses testing. Guidelines are presented to help researchers identify composite hypotheses and set significance levels to account for multiple tests.
It is important for the quality of scholarship that inferences are valid: properly identifying composite hypotheses and accounting for multiple tests provides some assurance in this regard.
为识别复合假设及解决多重假设的错误拒绝概率提供指导方针。
卫生服务研究文献中的实例用于推动对复合假设检验和多重假设的讨论。
本文是一篇教学性论述。
由于对适当的假设生成和多重假设检验关注不足，在卫生服务研究中发现错误推断并不罕见。本文提出了指导方针，以帮助研究人员识别复合假设并设定显著性水平，以应对多重检验。
推理有效对于学术质量很重要：正确识别复合假设并考虑多重检验在这方面提供了一定保证。
