A Bayesian structural equations model for multilevel data with missing responses and missing covariates
نویسندگان
چکیده
منابع مشابه
Bayesian Structural Equations Modeling for Ordinal Response Data with Missing Responses and Missing Covariates
SUNGDUK KIM, SONALI DAS, MING-HUI CHEN, AND NICHOLAS WARREN Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, Maryland, USA Logistics and Quantitative Methods, CSIR BE, PO Box 395, Pretoria, South Africa Department of Statistics, University of Connecticut, Storrs, Connecticut, USA Univer...
متن کاملA MODEL FOR MIXED CONTINUOUS AND DISCRETE RESPONSES WITH POSSIBILITY OF MISSING RESPONSES
A model for missing data in mixed binary and continuous responses, which can be used on cross-sectional data, is presented. In this model response indicator for the binary response can be dependent on the continuous response. A closed form for the likelihood is found. For data with a complicated pattern of missing responses some new residuals are also proposed. The model of multiplicative heter...
متن کاملMissing Covariates : a Bayesian Approach
John C. Naylor Tony Pettit y Abstract Data on observed fault rates in an industrial process together with values of selected covariates, ordered through time, is analysed. The record of covariate values is incomplete for operational reasons and a particular feature of the analysis is dealing with these missing values. Of practical interest is the selection of covariates which might in uence the...
متن کاملBayesian Model Averaging for Generalized Linear Models with Missing Covariates
We address the problem of estimating generalized linear models (GLMs) when the outcome of interest is always observed, the values of some covariates are missing for some observations, but imputations are available to fill-in the missing values. Under certain conditions on the missing-data mechanism and the imputation model, this situation generates a trade-off between bias and precision in the ...
متن کاملA Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates.
In behavioral, biomedical, and social-psychological sciences, it is common to encounter latent variables and heterogeneous data. Mixture structural equation models (SEMs) are very useful methods to analyze these kinds of data. Moreover, the presence of missing data, including both missing responses and missing covariates, is an important issue in practical research. However, limited work has be...
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: Bayesian Analysis
سال: 2008
ISSN: 1936-0975
DOI: 10.1214/08-ba308