The researchers developed a method called GEE-Smoothing spline to estimate models for correlated nominal data. They used a combination of parametric and nonparametric components, with the nonparametric part estimated using a smoothing spline. The method was evaluated through simulation studies, showing promising properties for estimating these types of models.