Progression-free survival

Progression-free survival in oncological clinical studies: Assessment time bias and methods for its correction

Brief description

A frequent endpoint in oncology studies is the progression-free survival of patients. Since progression is diagnosed at most at the control examinations scheduled according to the study plan, so-called interval-censored event time data are available. In the present project, a Baysian approach for parameter estimation in interval-censored data is developed and compared with classical methods. The results should allow an unbiased estimation of the median progression-free survival under interval censoring.