Abstract
In Chapter 4, we discussed familial models for count data, where count responses along with a set of covariates are collected from the members of a large number of independent families. In Chapter 6, we discussed longitudinal models for count data, where count responses along with a set of covariates are collected from a large number of independent individuals over a small period of time. In practice there are situations where the count responses and their corresponding covariates are collected in a familial longitudinal setup. In this setup, count responses and the associated covariates are collected from the members of a large number of independent families over a small period of time. For example, in health care utilization data, the number of visits to the physician by the members of a large number of independent families may be recorded over a period of several years. Also the information on the covariates: gender, number of chronic conditions, education level, and age may be recorded for the members of each family.
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Sutradhar, B.C. (2011). Familial Longitudinal Models for Count Data. In: Dynamic Mixed Models for Familial Longitudinal Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8342-8_10
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DOI: https://doi.org/10.1007/978-1-4419-8342-8_10
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