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Multinomial Models for Longitudinal Bivariate Categorical Data

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Longitudinal Categorical Data Analysis

Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

Recall from Chap. 4, specifically from Sect. 4.4 that the marginal probability at initial time (t = 1) and all possible lag 1 conditional probabilities for a multinomial response repeated over time were modeled as:

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References

  • Sutradhar, B. C. (2011). Dynamic mixed models for familial longitudinal data. New York: Springer.

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  • Sutradhar, B. C., Prabhakar Rao, R., & Pandit, V. N. (2008). Generalized method of moments versus generalized quasi-likelihood inferences in binary panel data models. Sankhya B, 70, 34–62.

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Sutradhar, B.C. (2014). Multinomial Models for Longitudinal Bivariate Categorical Data. In: Longitudinal Categorical Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2137-9_6

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