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Abstract. Quasi-least squares (QLS) is an alternative method for estimating the correlation parameters within the framework of the generalized estimating equation (GEE) approach for analyzing correlated cross-sectional and longitudinal data. This article summarizes the development of QLS that...
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In this paper, empirical likelihood-based inference for longitudinal data within the framework of generalized linear model is investigated. The proposed procedure takes into account the within-subject correlation without involving direct estimation of nuisance parameters in the correlation...
Persistent link: https://www.econbiz.de/10010594223
Notable bias can exist in the empirical covariance matrix of parameter estimates obtained from the quadratic inference function method that incorporates an unstructured working correlation. We therefore derive a bias correction. Via simulation, we show that the proposed correction leads to...
Persistent link: https://www.econbiz.de/10010664063
In this paper, we propose a robust empirical likelihood (REL) inference for the parametric component in a generalized partial linear model (GPLM) with longitudinal data. We make use of bounded scores and leverage-based weights in the auxiliary random vectors to achieve robustness against...
Persistent link: https://www.econbiz.de/10010576502
variable selection procedure is that it enables us to achieve better robustness and efficiency by introducing an additional …
Persistent link: https://www.econbiz.de/10011117685
To enhance the efficiency of regression parameter estimation by modeling the correlation structure of correlated binary … error terms in quantile regression with repeated measurements, we propose a Gaussian pseudolikelihood approach for … correlation structure and improving regression parameter estimation efficiency. The proposed method is further illustrated by …
Persistent link: https://www.econbiz.de/10011191034
The problem of estimating the parameters in a generalized linear model when a covariate is subject to censoring is studied. A new method based on an estimating function approach is proposed. The method does not assume a parametric form for the distribution of the response given the regressors...
Persistent link: https://www.econbiz.de/10010574469