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Introduction: Although health expenditure in sub-Saharan African countries is the lowest compared with other regions in the world, most African countries have improved their budget allocations to health care over the past 15 years. The majority of health care sources in sub-Saharan Africa are...
Persistent link: https://www.econbiz.de/10014489859
demonstrate that the resulting conditional likelihood of the regression coefficients is multivariate normal, equivalent to a …
Persistent link: https://www.econbiz.de/10010263505
We consider estimation in generalized linear mixed models (GLMM) for longitudinal data with informative dropouts. At the time a unit drops out, time-varying covariates are often unobserved in addition to the missing outcome. However, existing informative dropout models typically require...
Persistent link: https://www.econbiz.de/10009476551
observed likelihood and graphical methods are performed to assess the goodness of fit of the model. The method is applied to …
Persistent link: https://www.econbiz.de/10009476639
algorithm is developed to obtain maximum likelihood estimates of model parameters. Unit-specific predictions of the latent …
Persistent link: https://www.econbiz.de/10009476960
appropriate log-likelihood function to obtain residual maximum likelihood estimates. The proposed method is applied to analyze a …
Persistent link: https://www.econbiz.de/10009479406
Thesis (Ph. D.)--University of Rochester. William E. Simon Graduate School of Business Administration, 2009.
Persistent link: https://www.econbiz.de/10009483052
An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic …
Persistent link: https://www.econbiz.de/10010326209
appropriate log-likelihood function to obtain residual maximum likelihood estimates. The proposed method is applied to analyze a …
Persistent link: https://www.econbiz.de/10009448442
For a random effects regression model with unbalanced panel data, we demonstrate that the Generalized Least Squares (GLS) estimator can be expressed as a (matrix) weighted average of estimators which utilize the within individual and the between individual variation in the data set. We thus...
Persistent link: https://www.econbiz.de/10010284483