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Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data
association clustered binary data generalized estimating equation logistic regression variable selection
2012/9/17
This paper investigates the property of the penalized estimating equations when both the mean and association structures are modelled. To select variables for the mean and association structures seque...
A factor mixture analysis model for multivariate binary data
model based clustering latent trait analysis EM algorithm
2010/10/19
The paper proposes a latent variable model for binary data coming from an unobserved heterogeneous population. The heterogeneity is taken into account by replacing the traditional assumption of Gauss...
Prediction of Pregnancy: A Joint Model for Longitudinal and Binary Data
joint model mixed linear model generalized linear model longitudinal data binary data
2009/9/24
We consider the problem of predicting the achievement of successful pregnancy, in a population of women undergoing treatment for infertility, based on longitudinal measurements o...
Analysis of Variance for Binary Data in Unbalanced Designs
Analysis of Variance Binary Data Unbalanced Designs
2009/9/17
Analysis of Variance for Binary Data in Unbalanced Designs。
Binary Data in the Presence of Covariates and Misclassifications: A Bayesian Approach
Binary Data the Presence of Covariates Misclassifications A Bayesian Approach
2009/9/17
Binary Data in the Presence of Covariates and Misclassifications: A Bayesian Approach。
Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data
grouped binary data distortions hierarchical models beta-binomial beta-logistic robust estimation forecasting
2009/2/23
The paper focuses on robust estimation and forecasting techniques for grouped binary data with
misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model ...