Long-term immunity, evaluated by the persistence of antibody titers, is important to assess duration of protection induced by vaccination. This paper aims at drawing awareness on the risk of misinterpreting persistence results in absence of adjustment for missing or left-censored data. Using simulations, the paper shows that repeated measurement models are an appropriate alternative to control the bias associated to unadjusted persistence results.
Persistence clinical studies: can you believe what you see?
阅读:16
作者:Cheuvart Brigitte, Bianco Véronique, Caubet Magalie, Douha Martine, Fissette Laurence, François Nancy, Sumbul Anne
| 期刊: | Human Vaccines & Immunotherapeutics | 影响因子: | 3.500 |
| 时间: | 2013 | 起止号: | 2013 Jun;9(6):1351-7 |
| doi: | 10.4161/hv.24168 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
