Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385759568> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4385759568 endingPage "3469" @default.
- W4385759568 startingPage "3469" @default.
- W4385759568 abstract "This paper focuses on a joint model to analyze longitudinal proportional and survival data. We utilize a logit transformation on the longitudinal proportional data and employ a partially linear mixed-effect model. With this model, we estimate the unknown function of time using the B-splines technique. Additionally, we introduce a centered Dirichlet process mixture model (CDPMM) to capture the random effects, allowing for a flexible distribution. The survival data are assumed using a Cox proportional hazard model, and the sharing random effects joint model is developed for the two types of data. We develop a Bayesian Lasso (BLasso) approach that combines the Gibbs sampler and the Metropolis–Hastings algorithm. The proposed method allows for the estimation of unknown parameters and the selection of significant covariates simultaneously. We evaluate the performance of our proposed methods through simulation studies and also provide an illustration of our methodologies using an example from the MA.5 research experiment." @default.
- W4385759568 created "2023-08-12" @default.
- W4385759568 creator A5011465471 @default.
- W4385759568 creator A5045518648 @default.
- W4385759568 creator A5048996019 @default.
- W4385759568 creator A5058340151 @default.
- W4385759568 date "2023-08-10" @default.
- W4385759568 modified "2023-09-26" @default.
- W4385759568 title "Bayesian Joint Modeling Analysis of Longitudinal Proportional and Survival Data" @default.
- W4385759568 cites W1630828848 @default.
- W4385759568 cites W1848579801 @default.
- W4385759568 cites W1947272822 @default.
- W4385759568 cites W1982652137 @default.
- W4385759568 cites W1994899332 @default.
- W4385759568 cites W2034945547 @default.
- W4385759568 cites W2041779820 @default.
- W4385759568 cites W2043830714 @default.
- W4385759568 cites W2049873227 @default.
- W4385759568 cites W2049986394 @default.
- W4385759568 cites W2054192965 @default.
- W4385759568 cites W2055290874 @default.
- W4385759568 cites W2063495279 @default.
- W4385759568 cites W2067567094 @default.
- W4385759568 cites W2067983711 @default.
- W4385759568 cites W2105575181 @default.
- W4385759568 cites W2125185478 @default.
- W4385759568 cites W2134836760 @default.
- W4385759568 cites W2147739992 @default.
- W4385759568 cites W2150634422 @default.
- W4385759568 cites W2281103901 @default.
- W4385759568 cites W2527515158 @default.
- W4385759568 cites W4306377221 @default.
- W4385759568 doi "https://doi.org/10.3390/math11163469" @default.
- W4385759568 hasPublicationYear "2023" @default.
- W4385759568 type Work @default.
- W4385759568 citedByCount "0" @default.
- W4385759568 crossrefType "journal-article" @default.
- W4385759568 hasAuthorship W4385759568A5011465471 @default.
- W4385759568 hasAuthorship W4385759568A5045518648 @default.
- W4385759568 hasAuthorship W4385759568A5048996019 @default.
- W4385759568 hasAuthorship W4385759568A5058340151 @default.
- W4385759568 hasBestOaLocation W43857595681 @default.
- W4385759568 hasConcept C105795698 @default.
- W4385759568 hasConcept C107673813 @default.
- W4385759568 hasConcept C119043178 @default.
- W4385759568 hasConcept C126322002 @default.
- W4385759568 hasConcept C158424031 @default.
- W4385759568 hasConcept C168743327 @default.
- W4385759568 hasConcept C2781280628 @default.
- W4385759568 hasConcept C33923547 @default.
- W4385759568 hasConcept C41008148 @default.
- W4385759568 hasConcept C50382708 @default.
- W4385759568 hasConcept C71924100 @default.
- W4385759568 hasConcept C93959086 @default.
- W4385759568 hasConcept C95190672 @default.
- W4385759568 hasConceptScore W4385759568C105795698 @default.
- W4385759568 hasConceptScore W4385759568C107673813 @default.
- W4385759568 hasConceptScore W4385759568C119043178 @default.
- W4385759568 hasConceptScore W4385759568C126322002 @default.
- W4385759568 hasConceptScore W4385759568C158424031 @default.
- W4385759568 hasConceptScore W4385759568C168743327 @default.
- W4385759568 hasConceptScore W4385759568C2781280628 @default.
- W4385759568 hasConceptScore W4385759568C33923547 @default.
- W4385759568 hasConceptScore W4385759568C41008148 @default.
- W4385759568 hasConceptScore W4385759568C50382708 @default.
- W4385759568 hasConceptScore W4385759568C71924100 @default.
- W4385759568 hasConceptScore W4385759568C93959086 @default.
- W4385759568 hasConceptScore W4385759568C95190672 @default.
- W4385759568 hasIssue "16" @default.
- W4385759568 hasLocation W43857595681 @default.
- W4385759568 hasOpenAccess W4385759568 @default.
- W4385759568 hasPrimaryLocation W43857595681 @default.
- W4385759568 hasRelatedWork W1722999188 @default.
- W4385759568 hasRelatedWork W1981691757 @default.
- W4385759568 hasRelatedWork W1982447720 @default.
- W4385759568 hasRelatedWork W1988581123 @default.
- W4385759568 hasRelatedWork W2003103177 @default.
- W4385759568 hasRelatedWork W2006779293 @default.
- W4385759568 hasRelatedWork W2104184505 @default.
- W4385759568 hasRelatedWork W2115219202 @default.
- W4385759568 hasRelatedWork W2155829550 @default.
- W4385759568 hasRelatedWork W2172000475 @default.
- W4385759568 hasVolume "11" @default.
- W4385759568 isParatext "false" @default.
- W4385759568 isRetracted "false" @default.
- W4385759568 workType "article" @default.