Generalised additive models (GAMs) are a type of statistical model that expands on traditional models by allowing for non-linear relationships between variables. By using smoothing techniques, GAMs can capture complex patterns in data that may not be captured by simpler models. This approach can be useful when analyzing data with multiple variables that may not have a straightforward relationship with the outcome. Overall, GAMs offer a flexible and powerful tool for analyzing a wide range of data sets.