Abstract
Notable bias can exist in the empirical covariance matrix of parameter estimates obtained from the quadratic inference function method that incorporates an unstructured working correlation. We therefore derive a bias correction. Via simulation, we show that the proposed correction leads to appropriate standard error estimation.
Original language | English |
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Pages (from-to) | 1553-1558 |
Number of pages | 6 |
Journal | Statistics and Probability Letters |
Volume | 83 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2013 |
Keywords
- Correlated data
- Efficiency
- Generalized estimating equations
- Marginal model
- Working correlation structure
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty