[FG] Chammartin-BasnetHead of Research Unit Dr.Frédérique ChammartinOverviewMembersPublicationsProjects & CollaborationsProjects & Collaborations OverviewMembersPublicationsProjects & Collaborations Projects & Collaborations 1 foundShow per page10 10 20 50 ESTIMATE Research Project | 3 Project MembersI am currently re-analyzing a dataset with Bayesian methods which was published in 2021, to showcase the use of Bayesian hierarchical methods. This approach can quantify the uncertainty in the residual work capacity estimates and shrink the estimates towards the common mean since the groups are effectively sharing information through the hyper-priors. The aim of the ESTIMATE project is to improve the quality of work disability evaluations for disability benefit decisions by creating a large and representative data base of residual work capacity ratings and develop a Bayesian hierarchical model to better estimate residual work capacity. 1 1 OverviewMembersPublicationsProjects & Collaborations
Projects & Collaborations 1 foundShow per page10 10 20 50 ESTIMATE Research Project | 3 Project MembersI am currently re-analyzing a dataset with Bayesian methods which was published in 2021, to showcase the use of Bayesian hierarchical methods. This approach can quantify the uncertainty in the residual work capacity estimates and shrink the estimates towards the common mean since the groups are effectively sharing information through the hyper-priors. The aim of the ESTIMATE project is to improve the quality of work disability evaluations for disability benefit decisions by creating a large and representative data base of residual work capacity ratings and develop a Bayesian hierarchical model to better estimate residual work capacity. 1 1
ESTIMATE Research Project | 3 Project MembersI am currently re-analyzing a dataset with Bayesian methods which was published in 2021, to showcase the use of Bayesian hierarchical methods. This approach can quantify the uncertainty in the residual work capacity estimates and shrink the estimates towards the common mean since the groups are effectively sharing information through the hyper-priors. The aim of the ESTIMATE project is to improve the quality of work disability evaluations for disability benefit decisions by creating a large and representative data base of residual work capacity ratings and develop a Bayesian hierarchical model to better estimate residual work capacity.
