On 2013 Jun 19, Robert Tibshirani commented:

This paper, along with

Kung-Yee Liang and Scott Zeger (1986). "Longitudinal data analysis using generalized linear models". Biometrika 73 (1): 13–22.

introduced the Generalized Estimating equation (GEE) approach for modelling repeated or grouped observations. Full probability models for such data are often hard to specify, so GEEs finesse the issue by including a within subject or group correlation matrix in the usual score equations for a generalized linear model. The GEE is an important advance that has had much impact on statistical practice.

On 2013 Jun 19, Robert Tibshirani commented:

This paper, along with

Kung-Yee Liang and Scott Zeger (1986). "Longitudinal data analysis using generalized linear models". Biometrika 73 (1): 13–22.

introduced the Generalized Estimating equation (GEE) approach for modelling repeated or grouped observations. Full probability models for such data are often hard to specify, so GEEs finesse the issue by including a within subject or group correlation matrix in the usual score equations for a generalized linear model. The GEE is an important advance that has had much impact on statistical practice.