Datta S, Halloran M E, Longini I M
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Stat Med. 1998 Jan 30;17(2):185-200. doi: 10.1002/(sici)1097-0258(19980130)17:2<185::aid-sim732>3.0.co;2-4.
It is important to design HIV vaccine trials to estimate the efficacy of a vaccine in reducing infectiousness in addition to the protective efficacy. Currently planned phase III HIV vaccine field trials in which at-risk individuals are randomized and followed over time do not permit estimation or testing of the vaccine's effect on reducing infectiousness of vaccinees who become infected. We suggest an augmentation of these field trials that recruits steady sexual partners of the primary participants into the trial as far as they are willing to participate. This study design would allow estimation of the efficacy of the vaccine on reducing infectiousness as well as the protective efficacy. We compare the classical design that does not include partners to two different types of augmented design. In the first type of augmentation, called the non-randomized partner design, the steady sexual partners are not randomized to vaccine or placebo. In the second type of augmentation, called the randomized partner design, the steady sexual partners are also randomized to vaccine or placebo. We present a probability model based on infection status at the end of the trial that provides maximum likelihood estimates of the protective efficacy of the vaccine, VES, and the efficacy of the vaccine on reducing infectiousness, VEI. Wald statistics are used for one degree of freedom tests on VES and VEI. With the augmented design, a likelihood ratio test is used to test whether the vaccine has any effect at all. The randomized partner design has more power and provides narrower confidence intervals than does the non-randomized partner design.
设计HIV疫苗试验时,除了评估疫苗的保护效力外,估计其降低传染性的效力也很重要。目前计划进行的III期HIV疫苗现场试验,将高危个体随机分组并长期跟踪,但无法评估或测试疫苗对已感染疫苗接种者传染性的影响。我们建议扩大这些现场试验,招募主要参与者的固定性伴侣参与试验,只要他们愿意。这种研究设计将能够估计疫苗降低传染性的效力以及保护效力。我们将不包括伴侣的经典设计与两种不同类型的扩大设计进行比较。在第一种扩大设计中,称为非随机伴侣设计,固定性伴侣不随机分配疫苗或安慰剂。在第二种扩大设计中,称为随机伴侣设计,固定性伴侣也随机分配疫苗或安慰剂。我们提出了一个基于试验结束时感染状况的概率模型,该模型提供了疫苗保护效力(VES)和疫苗降低传染性效力(VEI)的最大似然估计。Wald统计量用于对VES和VEI进行单自由度检验。对于扩大设计,使用似然比检验来检验疫苗是否有任何效果。随机伴侣设计比非随机伴侣设计具有更大的功效,并提供更窄的置信区间。