Bayesian modeling of random effects precision/covariance matrix in cumulative logit random effects models
نویسندگان
چکیده
منابع مشابه
Multinomial logit random effects models
This article presents a general approach for logit random effects modelling of clustered ordinal and nominal responses. We review multinomial logit random effects models in a unified form as multivariate generalized linear mixed models. Maximum likelihood estimation utilizes adaptive Gauss–Hermite quadrature within a quasi-Newton maximization algorithm. For cases in which this is computationall...
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 کاملBayesian 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 کاملFixed Effects vs. Random Effects Meta- Analysis Models: Implications for Cumulative Research Knowledge
Research conclusions in the social sciences are increasingly based on meta-analysis, making questions of the accuracy of meta-analysis critical to the integrity of the base of cumulative knowledge. Both fixed effects (FE) and random effects (RE) meta-analysis models have been used widely in published meta-analyses. This article shows that FE models typically manifest a substantial Type I bias i...
متن کاملPreterm Birth: Analysis of Longitudinal Data on Siblings Based on Random-Effects Logit Models
INTRODUCTION The literature about the determinants of a preterm birth is still controversial. We approach the analysis of these determinants distinguishing between woman's observable characteristics, which may change over time, and unobservable woman's characteristics, which are time invariant and explain the dependence between the typology (normal or preterm) of consecutive births. METHODS W...
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: Communications for Statistical Applications and Methods
سال: 2017
ISSN: 2383-4757
DOI: 10.5351/csam.2017.24.1.081