Amaratunga Dhammika, Cabrera Javier
Rutgers Cardiovascular Institute, Rutgers University, Newark, NJ, USA.
Curr Hypertens Rep. 2015 Oct;17(10):81. doi: 10.1007/s11906-015-0591-8.
Cardiovascular research generates a large variety of data including big and small datasets that pose interesting challenges to researchers in biomedical statistics. This paper covers a number of important methodology issues and the solutions that have been applied so far to try to solve them. The first issue is multiple testing and the use of false discovery rates to correct for multiplicity. This is illustrated with an application related to genotyping heart diseases. The second is measuring life extension at present and in the future. The third one is the issue of U and J curves and the questions they present. Finally, this paper studies visit-to-visit blood pressure variability as a predictor of cardiovascular events.
心血管研究产生了各种各样的数据，包括大小数据集，这给生物医学统计学领域的研究人员带来了有趣的挑战。本文涵盖了一些重要的方法学问题以及目前为尝试解决这些问题而应用的解决方案。第一个问题是多重检验以及使用错误发现率来校正多重性。这通过一个与心脏病基因分型相关的应用进行了说明。第二个问题是测量当前和未来的寿命延长情况。第三个问题是U型和J型曲线的问题以及它们所带来的疑问。最后，本文研究了就诊间血压变异性作为心血管事件的预测指标。
