弹道
群(周期表)
计算机科学
结果(博弈论)
介绍(产科)
数据挖掘
数学
数理经济学
天文
医学
物理
放射科
有机化学
化学
作者
Bobby L. Jones,Daniel S. Nagin
标识
DOI:10.1177/0049124106292364
摘要
This article is a follow-up to Jones, Nagin, and Roeder (2001), which described an SAS procedure for estimating group-based trajectory models. Group-based trajectory is a specialized application of finite mixture modeling and is designed to identify clusters of individuals following similar progressions of some behavior or outcome over age or time. This article has two purposes. One is to summarize extensions of the methodology and of the SAS procedure that have been developed since Jones et al. The other is to illustrate how group-based trajectory modeling lends itself to presentation of findings in the form of easily understood graphical and tabular data summaries.
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