Rodary C, Nougue C C
Bull Cancer. 1982;69(4):387-92.
Interim analyses are analyses performed before complete collection of information on all patients in the study is obtained. The precocity and the repetiveness of these analyses considerably increase the risk of false conclusions of a significant difference. For instance, if ten statistical tests are carried out during the course of a trial at the alpha = 5 per cent nominal level, the overall significance level increases to 19 per cent. Statistical methods allowing repeated analyses are described here: Classical Sequential Analysis (Armitage) and Group Sequential Analysis (Pocok).
期中分析是在获得研究中所有患者的完整信息之前进行的分析。这些分析的早熟性和重复性大大增加了得出存在显著差异的错误结论的风险。例如，如果在一项试验过程中以名义水平α = 5% 进行十次统计检验，总体显著性水平会升至19%。此处介绍了允许进行重复分析的统计方法：经典序贯分析（阿米蒂奇）和组序贯分析（波科克）。
