| 标题 |
Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them 相关领域
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
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| 其它 |
作者: BL Jones、 DS Nagin 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. 关键词: developmental trajectories;Proc Traj;finite mixture models |
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(2025-6-4)