Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313455436> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4313455436 abstract "Summary Consider a survival time $T$ that is subject to random right censoring, and suppose that $T$ is stochastically dependent on the censoring time $C$. We are interested in the marginal distribution of $T$. This situation is often encountered in practice. Consider, for example, the case where $T$ is a patient’s time to death from a certain disease. Then the censoring time $C$ could be the time until the patient leaves the study or the time until death from another cause. If the reason for leaving the study is related to the health condition of the patient, or if the patient dies from a disease that has similar risk factors to the disease of interest, then $T$ and $C$ are likely to be dependent. In this paper we propose a new model that takes such dependence into account. The model is based on a parametric copula for the relationship between $T$ and $C$, and on parametric marginal distributions for $T$ and $C$. Unlike most other authors, we do not assume that the parameter defining the copula is known. We give sufficient conditions on these parametric copulas and marginals under which the bivariate distribution of $(T,C)$ is identified. These sufficient conditions are then checked for a wide range of common copulas and marginals. We also study the estimation of the model, and carry out extensive simulations and analysis on a pancreatic cancer dataset to illustrate the proposed model and estimation procedure." @default.
- W4313455436 created "2023-01-06" @default.
- W4313455436 creator A5020151207 @default.
- W4313455436 creator A5025169649 @default.
- W4313455436 date "2022-12-20" @default.
- W4313455436 modified "2023-10-18" @default.
- W4313455436 title "Dependent censoring based on parametric copulas" @default.
- W4313455436 cites W1513995799 @default.
- W4313455436 cites W1525840049 @default.
- W4313455436 cites W1738792748 @default.
- W4313455436 cites W1830719945 @default.
- W4313455436 cites W1967858306 @default.
- W4313455436 cites W1979217028 @default.
- W4313455436 cites W1988192285 @default.
- W4313455436 cites W1992105816 @default.
- W4313455436 cites W2001683154 @default.
- W4313455436 cites W2011054815 @default.
- W4313455436 cites W2024385229 @default.
- W4313455436 cites W2025635898 @default.
- W4313455436 cites W2050509804 @default.
- W4313455436 cites W2081806742 @default.
- W4313455436 cites W2105351054 @default.
- W4313455436 cites W2142219037 @default.
- W4313455436 cites W2152381850 @default.
- W4313455436 cites W2571098257 @default.
- W4313455436 cites W2791008202 @default.
- W4313455436 cites W2940956789 @default.
- W4313455436 cites W2982395980 @default.
- W4313455436 cites W2987884008 @default.
- W4313455436 cites W3095837644 @default.
- W4313455436 cites W4246784033 @default.
- W4313455436 cites W4252584470 @default.
- W4313455436 cites W4293241248 @default.
- W4313455436 cites W4299551643 @default.
- W4313455436 cites W3105237052 @default.
- W4313455436 doi "https://doi.org/10.1093/biomet/asac067" @default.
- W4313455436 hasPublicationYear "2022" @default.
- W4313455436 type Work @default.
- W4313455436 citedByCount "4" @default.
- W4313455436 countsByYear W43134554362022 @default.
- W4313455436 countsByYear W43134554362023 @default.
- W4313455436 crossrefType "journal-article" @default.
- W4313455436 hasAuthorship W4313455436A5020151207 @default.
- W4313455436 hasAuthorship W4313455436A5025169649 @default.
- W4313455436 hasConcept C105795698 @default.
- W4313455436 hasConcept C117251300 @default.
- W4313455436 hasConcept C122123141 @default.
- W4313455436 hasConcept C137668524 @default.
- W4313455436 hasConcept C149782125 @default.
- W4313455436 hasConcept C165216359 @default.
- W4313455436 hasConcept C17618745 @default.
- W4313455436 hasConcept C18653775 @default.
- W4313455436 hasConcept C33923547 @default.
- W4313455436 hasConcept C64341305 @default.
- W4313455436 hasConceptScore W4313455436C105795698 @default.
- W4313455436 hasConceptScore W4313455436C117251300 @default.
- W4313455436 hasConceptScore W4313455436C122123141 @default.
- W4313455436 hasConceptScore W4313455436C137668524 @default.
- W4313455436 hasConceptScore W4313455436C149782125 @default.
- W4313455436 hasConceptScore W4313455436C165216359 @default.
- W4313455436 hasConceptScore W4313455436C17618745 @default.
- W4313455436 hasConceptScore W4313455436C18653775 @default.
- W4313455436 hasConceptScore W4313455436C33923547 @default.
- W4313455436 hasConceptScore W4313455436C64341305 @default.
- W4313455436 hasLocation W43134554361 @default.
- W4313455436 hasOpenAccess W4313455436 @default.
- W4313455436 hasPrimaryLocation W43134554361 @default.
- W4313455436 hasRelatedWork W1851211969 @default.
- W4313455436 hasRelatedWork W1941011487 @default.
- W4313455436 hasRelatedWork W3027099149 @default.
- W4313455436 hasRelatedWork W3102255953 @default.
- W4313455436 hasRelatedWork W3156706405 @default.
- W4313455436 hasRelatedWork W4283830735 @default.
- W4313455436 hasRelatedWork W4286255261 @default.
- W4313455436 hasRelatedWork W4313455436 @default.
- W4313455436 hasRelatedWork W4315649361 @default.
- W4313455436 hasRelatedWork W3105237052 @default.
- W4313455436 isParatext "false" @default.
- W4313455436 isRetracted "false" @default.
- W4313455436 workType "article" @default.