Pals Sherri L, Beaty Brenda L, Posner Samuel F, Bull Sheana S
Division of HIV/AIDS Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
Health Educ Behav. 2009 Feb;36(1):182-94. doi: 10.1177/1090198108327731.
Studies designed to evaluate HIV and STD prevention interventions often involve random assignment of groups such as neighborhoods or communities to study conditions (e.g., to intervention or control). Investigators who design group-randomized trials (GRTs) must take the expected intraclass correlation coefficient (ICC) into account in sample size estimation to have adequate power; however, few published ICC estimates exist for outcome variables related to HIV and STD prevention. The Prevention Options for Women Equal Rights (POWER) study was a GRT designed to evaluate a campaign to increase awareness and use of condoms among young African American and Hispanic women. The authors used precampaign and postcampaign data from the POWER study to estimate ICCs (unadjusted and adjusted for covariates) for a variety of sexual behavior and other variables. To illustrate the impact of ICCs on power, the authors present sample-size calculations and demonstrate how ICCs of differing magnitude will affect estimates of required sample size.
旨在评估艾滋病毒和性传播疾病预防干预措施的研究通常涉及将邻里或社区等群体随机分配到不同的研究条件下(例如,干预组或对照组)。设计群组随机试验(GRT)的研究人员在样本量估计时必须考虑预期的组内相关系数(ICC),以确保有足够的检验效能;然而,与艾滋病毒和性传播疾病预防相关的结局变量的组内相关系数估计值在已发表的文献中很少见。妇女平等权利预防方案(POWER)研究是一项群组随机试验,旨在评估一项提高年轻非裔美国人和西班牙裔女性对避孕套的认识及使用率的活动。作者利用POWER研究中活动前和活动后的数据,对各种性行为及其他变量的组内相关系数(未调整和经协变量调整的)进行估计。为说明组内相关系数对检验效能的影响,作者给出了样本量计算,并展示了不同大小的组内相关系数将如何影响所需样本量的估计。