Missing censoring indicators in survival analysis
Principal Investigator
Name
Mikael Escobar-Bach
Institution
Laboratoire Angevin de Recherche en Mathématiques, Université d'Angers
Position Title
Assistant Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1149
Initial CDAS Request Approval
Jan 18, 2023
Title
Missing censoring indicators in survival analysis
Summary
We aim to develop specific statistical methods which tackle the problem of missing censoring indicators in survival analysis.
The use of real datasets, like PLCO's prostate data would emphasize the practical application of our method.
The use of real datasets, like PLCO's prostate data would emphasize the practical application of our method.
Aims
Real datasets study
Statistical development
Collaborators
Olivier Goudet, LERIA, Université d'Angers