Study designs in public health research often require the estimation of intervention effects that have been applied to a cluster of subjects in a common geographic area, rather than randomly assigned to individual subjects, and where the outcome is dichotomous. Statistical methods that account for t
Conditional Generalized Estimating Equations for the Analysis of Clustered and Longitudinal Data
โ Scribed by Sylvie Goetgeluk; Stijn Vansteelandt
- Book ID
- 109223862
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 158 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0006-341X
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The generalized estimating equations (GEE) introduced by Liang and Zeger (Biometrika 73, (1986) 13-22) have been widely used over the past decade to analyze longitudinal data. The method uses a generalized quasi-score function estimate for the regression coefficients, and moment estimates for the co
The generalized estimation equation (GEE) method, one of the generalized linear models for longitudinal data, has been used widely in medical research. However, the related sensitivity analysis problem has not been explored intensively. One of the possible reasons for this was due to the correlated