Abstract
This chapter covers methods to model observations that are correlated. The modeling of correlated data requires an alternative to the joint likelihood to obtain the parameter estimates. One such method is based on modeling the marginal mean and another method is based on modeling the conditional mean. There are some fundamental differences between the two approaches to model correlated data.
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Wilson, J.R., Vazquez-Arreola, E., Chen, (.DG. (2020). Generalized Estimating Equation and Generalized Linear Mixed Models. In: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates. Emerging Topics in Statistics and Biostatistics . Springer, Cham. https://doi.org/10.1007/978-3-030-48904-5_2
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DOI: https://doi.org/10.1007/978-3-030-48904-5_2
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