弹道
联动装置(软件)
度量(数据仓库)
系列(地层学)
群(周期表)
接头(建筑物)
人口
联合概率分布
统计
计算机科学
数学
计量经济学
心理学
数据挖掘
人口学
工程类
生物
社会学
天文
化学
有机化学
建筑工程
古生物学
物理
基因
生物化学
作者
Daniel S. Nagin,Richard E. Tremblay
标识
DOI:10.1037/1082-989x.6.1.18
摘要
This article presents a group-based method to jointly estimate developmental trajectories of 2 distinct but theoretically related measurement series. The method will aid the analysis of comorbidity and heterotypic continuity. Three key outputs of the model are (a) for both measurement series, the form of the trajectory of distinctive subpopulations; (b) the probability of membership in each such trajectory group; and (c) the joint probability of membership in trajectory groups across behaviors. This final output offers 2 novel features. First, the joint probabilities can characterize the linkage in the developmental course of distinct but related behaviors. Second, the joint probabilities can measure differences within the population in the magnitude of this linkage. Two examples are presented to illustrate the application of the method.
科研通智能强力驱动
Strongly Powered by AbleSci AI