Structural equation modeling: a framework for ocular and other medical sciences research.
Structural equation modeling: a framework for ocular and other medical sciences research.
复制标题
DOI：
10.3109/09286586.2013.867508
复制
发表时间：
2014-03
影响因子：
1.8
通讯作者：
Zheng DD
中科院分区：
文献类型：
--
作者：
Christ SL;Lee DJ;Lam BL;Zheng DD
结构方程建模(SEM)是一个包含多种类型统计模型的建模框架，可以适应各种估计和测试方法。扫描电子显微镜主要用于社会科学，但越来越多地用于流行病学、公共卫生和医学科学。扫描电子显微镜为调查和临床数据的分析提供了许多优势，包括对可能无法直接观察到的潜在结构进行建模的能力。另一个主要功能是同时估计方程系统中的参数，其中可能包括中介关系、相关的因变量，在某些情况下还包括反馈关系。结构方程模型允许理论上整体模型的规范，因为在同一模型中可以一起估计多个和不同的关系。结构方程模型最近扩展了广义线性建模功能，包括对同一模型中不同分布的结果同时估计不同函数形式的参数。因此，可以评估死亡率建模和其他相关的健康结果。使用潜变量的随机效应估计在结构方程模型文献和软件中已经被提出。此外，SEM软件增加了估算选项。因此，现代结构方程是相当普遍的，包括卫生研究人员经常使用的模型类型，包括广义线性模型、混合效应线性模型和总体平均模型。本文不提供任何新信息。本课程旨在介绍扫描电子显微镜及其在眼科和其他健康研究中的应用。
Structural equation modeling (SEM) is a modeling framework that encompasses many types of statistical models and can accommodate a variety of estimation and testing methods. SEM has been used primarily in social sciences but is increasingly used in epidemiology, public health, and the medical sciences. SEM provides many advantages for the analysis of survey and clinical data, including the ability to model latent constructs that may not be directly observable. Another major feature is simultaneous estimation of parameters in systems of equations that may include mediated relationships, correlated dependent variables, and in some instances feedback relationships. SEM allows for the specification of theoretically holistic models because multiple and varied relationships may be estimated together in the same model. SEM has recently expanded by adding generalized linear modeling capabilities that include the simultaneous estimation of parameters of different functional form for outcomes with different distributions in the same model. Therefore, mortality modeling and other relevant health outcomes may be evaluated. Random effects estimation using latent variables has been advanced in the SEM literature and software. In addition, SEM software has increased estimation options. Therefore, modern SEM is quite general and includes model types frequently used by health researchers, including generalized linear modeling, mixed effects linear modeling, and population average modeling. This article does not present any new information. It is meant as an introduction to SEM and its uses in ocular and other health research.
登录
查看更多内容
影响因子：
9.1
作者：
ALWIN, DF;HAUSER, RM
通讯作者：
HAUSER, RM
影响因子：
2
作者：
Bin, H;Sivaganesan, S;Goodman, E
通讯作者：
Goodman, E
影响因子：
6.8
作者：
AKAIKE, H
通讯作者：
AKAIKE, H
影响因子：
22.4
作者：
BENTLER, PM
通讯作者：
BENTLER, PM
影响因子：
2
作者：
BINDER, DA
通讯作者：
BINDER, DA