The researchers used a new method to analyze data in the Cox model, focusing on the likelihood function. By using a different parameterization, they were able to improve the estimation of regression parameters. Their findings suggest that their approach outperforms the traditional method, especially with smaller sample sizes. This was confirmed in a real dataset example, where their method led to different conclusions compared to the standard approach.