New method outperforms traditional estimator in survival analysis for small samples.
Researchers developed a new method to estimate a parameter in a statistical model called the Cox model. By using a different type of likelihood function, they were able to improve the accuracy of their estimates, especially for small or moderate sample sizes. Their approach showed better performance compared to the traditional method in simulations and real data analysis.