Sammel M D, Ryan L M
Division of Biostatistics, Dana Farber Cancer Institute, Boston, Massachusetts 02115, USA.
Biometrics. 1996 Jun;52(2):650-63.
We discuss latent variable models that allow for fixed effect covariates, as well as covariates affecting the latent variable directly. Restricted maximum likelihood and maximum likelihood are used to estimate model parameters. A generalized likelihood ratio test can be used to test significance of the covariates effecting the latent outcomes. Special cases of the proposed model correspond to factor analysis, mixed models, random effects models, and simultaneous equations. The model is applied to birth defects data, where continuous data on the size of infants who were exposed to anticonvulsant medications in utero are compared to controls.
我们讨论了允许固定效应协变量以及直接影响潜在变量的协变量的潜在变量模型。使用限制最大似然法和最大似然法来估计模型参数。广义似然比检验可用于检验影响潜在结果的协变量的显著性。所提出模型的特殊情况对应于因子分析、混合模型、随机效应模型和联立方程。该模型应用于出生缺陷数据，将子宫内接触抗惊厥药物的婴儿的大小的连续数据与对照组进行比较。
