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- W1969101101 abstract "Liang and Zeger (1986) proposed an extension of generalized linear models to the analysis of longitudinal data. In their formulation, a common dispersion parameter assumption across observation times is required. However, this assumption is not expected to hold in most situations. Park (1993) proposed a simple extension of Liang and Zeger's formulation to allow for different dispersion parameters for each time point. The proposed model is easy to apply without heavy computations and useful to handle the cases when variations in over-dispersion over time exist. In this paper, we focus on evaluating the effect of additional dispersion parameters on the estimators of model parameters. Through a Monte Carlo simulation study, efficiency of Park's method is compared with the Liang and Zeger's method." @default.
- W1969101101 created "2016-06-24" @default.
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- W1969101101 date "1995-01-01" @default.
- W1969101101 modified "2023-09-27" @default.
- W1969101101 title "A practical extension of the generalized estimating equation approach for longitudinal data" @default.
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- W1969101101 doi "https://doi.org/10.1080/03610929508831633" @default.
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