Regression models using parametric pseudo-observations

Description

The statistical analysis of survival data is the focus of research being carried out by Martin Nygård Johansen, a biostatistician at Aalborg University Hospital, Denmark, and his colleagues. Some patients’ actual survival times are not observed during a clinical study and are said to be censored. This research offers a new way to transform such time-to-event data into a dataset without censoring. Pseudo-observations are generated using a flexible parametric model and replace the original censored observations. Extensive simulations revealed a substantial reduction in the uncertainty of the final regression estimates when compared with the traditional nonparametric method.