Goodness-of-fit for GEE: an example with mental health service utilization |
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Authors: | Horton N J Bebchuk J D Jones C L Lipsitz S R Catalano P J Zahner G E Fitzmaurice G M |
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Institution: | Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA. horton@hsph.harvard.edu |
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Abstract: | Suppose we use generalized estimating equations to estimate a marginal regression model for repeated binary observations. There are no established summary statistics available for assessing the adequacy of the fitted model. In this paper we propose a goodness-of-fit test statistic which has an approximate chi-squared distribution when we have specified the model correctly. The proposed statistic can be viewed as an extension of the Hosmer and Lemeshow goodness-of-fit statistic for ordinary logistic regression to marginal regression models for repeated binary responses. We illustrate the methods using data from a study of mental health service utilization by children. The repeated responses are a set of binary measures of service use. We fit a marginal logistic regression model to the data using generalized estimating equations, and we apply the proposed goodness-of-fit statistic to assess the adequacy of the fitted model. |
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