Joint modelling of progression-free and overall survival and computation of correlation measures

• Published in: arXiv.org
• Main Authors: Meller, Matthias, Beyersmann, Jan, Kaspar Rufibach
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 25.10.2018
• Subjects: Correlation analysis; Correlation coefficients; Dependence; Markov chains; Statistical inference; Statistical methods; Survival; Transition probabilities

In this paper, we derive the joint distribution of progression-free and overall survival as a function of transition probabilities in a multistate model. No assumptions on copulae or latent event times are needed and the model is allowed to be non-Markov. From the joint distribution, statistics of i...