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For the case of linear models (i.eIn Section 13., marginal models with an identity link function), the generalized least squares (GLS) estimator2 of $\beta$ discussed in Chapter 4 can be considered a special case of the GEE approach.Applied longitudinal analysis, it says:

For the case of linear models (i.e., marginal models with an identity link function), the generalized least squares (GLS) estimator of $\beta$ discussed in Chapter 4 can be considered a special case of the GEE approach.

Reference

Fitzmaurice, Garrett M., Nan M. Laird, and James H. Ware. Applied longitudinal analysis. Vol. 998. John Wiley & Sons, 2012.

For the case of linear models (i.e., marginal models with an identity link function), the generalized least squares (GLS) estimator of $\beta$ discussed in Chapter 4 can be considered a special case of the GEE approach.

Fitzmaurice, Garrett M., Nan M. Laird, and James H. Ware. Applied longitudinal analysis. Vol. 998. John Wiley & Sons, 2012.

In Section 13.2 of Applied longitudinal analysis, it says:

For the case of linear models (i.e., marginal models with an identity link function), the generalized least squares (GLS) estimator of $\beta$ discussed in Chapter 4 can be considered a special case of the GEE approach.

Reference

Fitzmaurice, Garrett M., Nan M. Laird, and James H. Ware. Applied longitudinal analysis. Vol. 998. John Wiley & Sons, 2012.

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user343233
user343233
  • 13
  • 4

For the case of linear models (i.e., marginal models with an identity link function), the generalized least squares (GLS) estimator of $\beta$ discussed in Chapter 4 can be considered a special case of the GEE approach.

Fitzmaurice, Garrett M., Nan M. Laird, and James H. Ware. Applied longitudinal analysis. Vol. 998. John Wiley & Sons, 2012.