Strickland Pamela A Ohman, Lu Shou-En
Division of Biometrics, School of Public Health and Cancer Institute of New Jersey, University of Medicine of Dentistry of New Jersey, Suite 2200, Liberty Plaza, 335 George Street, New Brunswick, NJ 08903, USA.
Stat Med. 2003 Jun 15;22(11):1807-18. doi: 10.1002/sim.1383.
Sample size calculations are given for comparing two groups of subjects, typically referring to active and non-active intervention groups, on an ordinal outcome in experiments where the subjects are measured before and after intervention. These calculations apply to log-odds models with random intercepts, treatment, time and treatment-by-time interaction terms, the latter being the term of interest. The assumed forms of the odds ratios are flexible, allowing for proportional odds, adjacent categories, or other conditional models for ordinal responses. Simulations studies show that, for given sample sizes, the nominal and actual powers of the proposed test are similar.
给出了样本量计算方法,用于在干预前后对受试者进行测量的实验中,比较两组受试者(通常指主动干预组和非主动干预组)的有序结局。这些计算适用于具有随机截距、治疗、时间以及治疗与时间交互项的对数优势模型,后者是感兴趣的项。优势比的假定形式具有灵活性,允许采用比例优势、相邻类别或其他用于有序反应的条件模型。模拟研究表明,对于给定的样本量,所提出检验的名义功效和实际功效相似。