Dankwa, Ernest (2014) Bias study of the naive estimator in a longitudinal binary mixed-effects model with measurement error and misclassification in covariates. Masters thesis, Memorial University of Newfoundland.
- Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
When covariates in Longitudinal data are subject to errors, the naive estimates of the model parameters are often biased. In this research, we exploit a Dynamic Binary Mixed-effects Model using a Generalized Quasi-likelihood approach. Through simulations, we shall study the patterns in the bias of the naive estimator of the parameters that ignores the errors in the covariates.
|Item Type:||Thesis (Masters)|
|Additional Information:||Includes bibliographical references (pages 106-108).|
|Department(s):||Science, Faculty of > Mathematics and Statistics|
|Library of Congress Subject Heading:||Analysis of covariance; Estimation theory; Longitudinal method; Generalized estimating equations|
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