Center for Causal Inference, University of Pennsylvania, PA, USA.
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Stat Methods Med Res. 2020 Jan;29(1):78-93. doi: 10.1177/0962280218820881. Epub 2019 Jan 9.
The ability to produce a long-lasting, or durable, immune response is a crucial characteristic of many highly effective vaccines. A goal of early-phase vaccine trials is often to compare the immune response durability of multiple tested vaccine regimens. One parameter for measuring immune response durability is the area under the mean post-peak log immune response profile. In this paper, we compare immune response durability across vaccine regimens within and between two phase I trials of DNA-primed HIV vaccine regimens, HVTN 094 and HVTN 096. We compare four estimators of this durability parameter and the resulting statistical inferences for comparing vaccine regimens. Two of these estimators use the trapezoid rule as an empirical approximation of the area under the marginal log response curve, and the other two estimators are based on linear and nonlinear models for the marginal mean log response. We conduct a simulation study to compare the four estimators, provide guidance on estimator selection, and use the nonlinear marginal mean model to analyze immunogenicity data from the two HIV vaccine trials.
产生持久或耐用免疫反应的能力是许多高效疫苗的关键特征。早期疫苗试验的目标通常是比较多种经测试疫苗方案的免疫反应持久性。衡量免疫反应持久性的一个参数是平均后峰对数免疫反应曲线下的面积。在本文中,我们比较了 HVTN 094 和 HVTN 096 两项 I 期 DNA 疫苗方案试验中不同疫苗方案的免疫反应持久性。我们比较了四种该持久性参数的估计值,以及比较疫苗方案的相应统计推断。其中两种估计值使用梯形规则作为边缘对数反应曲线下面积的经验逼近,另外两种估计值基于边缘平均对数反应的线性和非线性模型。我们进行了一项模拟研究来比较这四种估计值,提供了估计值选择的指导,并使用非线性边缘平均模型来分析来自两项 HIV 疫苗试验的免疫原性数据。