Walker Martin, Churcher Thomas S, Basáñez María-Gloria
Department of Infectious Disease Epidemiology, London Centre for Neglected Tropical Disease Research, School of Public Health, Faculty of Medicine (St Mary's Campus), Imperial College London, Norfolk Place, London, W2 1PG, UK.
Department of Infectious Disease Epidemiology, London Centre for Neglected Tropical Disease Research, School of Public Health, Faculty of Medicine (St Mary's Campus), Imperial College London, Norfolk Place, London, W2 1PG, UK.
Trends Parasitol. 2014 Nov;30(11):528-37. doi: 10.1016/j.pt.2014.08.004. Epub 2014 Sep 11.
Anthelmintic drug efficacy (ADE) is generally estimated as a population average effect, despite drug responses varying among individuals according to a variety of measurable and non-measurable factors. Model-based and/or individual-level analyses are scarce and often methodologically frail. We propose that wider application of marginal and mixed models would offer benefits to the evaluation of ADE. We demonstrate, with a worked example, how model-based analyses: (i) capture the effects of correlation among hierarchically structured longitudinal data on estimates of ADE; (ii) permit robust inference on the association of measurable factors with ADE; and (iii) enable estimation of variation among individual-level estimates of ADE. The application of modelling approaches is discussed in the context of mass drug administration-based control of human helminthiases.
驱虫药疗效（ADE）通常被估计为群体平均效应，尽管药物反应会因各种可测量和不可测量因素在个体间有所不同。基于模型和/或个体水平的分析很少见，且在方法上往往很薄弱。我们认为更广泛地应用边际模型和混合模型将有助于ADE的评估。我们通过一个实例展示了基于模型的分析如何：（i）捕捉分层结构纵向数据中的相关性对ADE估计值的影响；（ii）对可测量因素与ADE之间的关联进行稳健推断；以及（iii）估计个体水平ADE估计值之间的差异。在基于群体药物管理的人类蠕虫病控制背景下讨论了建模方法的应用。
