Modeling of random effects covariance matrix in marginalized random effects models
نویسندگان
چکیده
منابع مشابه
Bayesian Modeling of Random Effects Covariance Matrix for Generalized Linear Mixed Models
Generalized linear mixed models(GLMMs) are frequently used for the analysis of longitudinal categorical data when the subject-specific effects is of interest. In GLMMs, the structure of the random effects covariance matrix is important for the estimation of fixed effects and to explain subject and time variations. The estimation of the matrix is not simple because of the high dimension and the ...
متن کاملMarginalized transition random effects models for multivariate longitudinal binary data
Generalized linear models with random effects and/or serial dependence are commonly used to analyze longitudinal data. However, interpretation and computation of marginal covariate effects can be difficult. Heagerty has proposed marginally specified logistic-normal models (1999) and marginalized transition models (2002) for longitudinal binary and categorical data in which the marginal mean is ...
متن کاملRandom regression models for estimation of covariance functions of growth in Iranian Kurdi sheep
Body weight (BW) records (n=11,659) of 4961 Kurdi sheep from 215 sires and 2085 dams were used to estimate the additive genetic, direct and maternal permanent environmental effects on growth from 1 to 300 days of age. The data were collected from 1993 to 2015 at a breeding station in North Khorasan province; Iran. Genetic parameters for growth traits were estimated using random regression test-...
متن کاملBayesian Determination of Sample Size in Longitudinal Studies with Binary Responses Using Random Effects Models
Sample size determination is important in all statistical studies including longitudinal studies. This is usually done by considering a target power to reduce the costs of sampling. Choosing the right sample size using efficient methods, ensures that the researcher achieve goal of the study, by spending the least amount of energy, time and money. In this article, using a method based on simulat...
متن کاملEstimation of the Covariance Matrix of Random Effects in Longitudinal Studies
Longitudinal studies are often conducted to explore the cohort and age effects in many scientific areas. The within cluster correlation structure plays a very important role in longitudinal data analysis. This is because not only can an estimator be improved by incorporating the within cluster correlation structure into the estimation procedure, but also the within cluster correlation structure...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2016
ISSN: 1598-9402
DOI: 10.7465/jkdi.2016.27.3.815