Pretz Christopher R, Ketchum Jessica M, Cuthbert Jeffery P
Craig Hospital (Drs Pretz and Cuthbert) and Traumatic Brain Injury National Statistical and Data Center (Drs Pretz and Cuthbert), Englewood, Colorado; and Department of Biostatistics, Virginia Commonwealth University, Richmond (Dr Ketchum). This work was prepared at the Traumatic Brain Injury Model Systems National Data and Statistical Center, Craig Hospital, Englewood, Colorado.
J Head Trauma Rehabil. 2014 Sep-Oct;29(5):E65-71. doi: 10.1097/HTR.0000000000000025.
An untapped wealth of temporal information is captured within the Traumatic Brain Injury Model Systems National Database. Utilization of appropriate longitudinal analyses can provide an avenue toward unlocking the value of this information. This article highlights 2 statistical methods used for assessing change over time when examination of noncontinuous outcomes is of interest where this article focuses on investigation of dichotomous responses. Specifically, the intent of this article is to familiarize the rehabilitation community with the application of generalized estimating equations and generalized linear mixed models as used in longitudinal studies. An introduction to each method is provided where similarities and differences between the 2 are discussed. In addition, to reinforce the ideas and concepts embodied in each approach, we highlight each method, using examples based on data from the Rocky Mountain Regional Brain Injury System.
创伤性脑损伤模型系统国家数据库中蕴含着尚未开发的丰富时间信息。运用适当的纵向分析能够为挖掘这些信息的价值提供一条途径。本文重点介绍了2种统计方法,用于在关注非连续性结果的情况下评估随时间的变化,本文主要聚焦于二分反应的研究。具体而言,本文旨在让康复领域的人士熟悉纵向研究中使用的广义估计方程和广义线性混合模型的应用。文中对每种方法进行了介绍,并讨论了两者之间的异同。此外,为了强化每种方法所体现的思想和概念,我们以落基山地区脑损伤系统的数据为例,对每种方法进行了重点说明。