title: Copula identifiability conditions for dependent truncated data model.
abstract: We provide a copula identifiability condition for dependent truncated data model. The identifiability is characterized by the strong lower-left tail identifiability of the copula family. We show that the commonly used Archimedean copula families with analytic generator functions satisfy this condition.
authors.affiliation: Department of Mathematics, Northeastern University, Boston, MA 02115, USA. a.ding@neu.edu
authors.forename: A Adam
authors.initials: AA
authors.lastname: Ding
mesh_terms: D002986:Clinical Trials as Topic; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D016019:Survival Analysis