Abstract
This chapter reviews the analysis of correlated responses with time-dependent covariates. An alternate means of detecting the valid moments as a unit rather than as a group is explored. The alternative method uses a technique of identifying the valid moments one at a time. The fit of marginal models is described. In summary, these models:
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(a)
makes use of the valid moment conditions available;
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(b)
does not assume that impact of a covariate on a response remains constant at times; and
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(c)
does not assume that impact of covariates on the response, if significant, occurs at the same degree.
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Wilson, J.R., Vazquez-Arreola, E., Chen, (.DG. (2020). GMM Regression Models for Correlated Data with Unit Moments. 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_4
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DOI: https://doi.org/10.1007/978-3-030-48904-5_4
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