Cargando…

Bayesian Variable Selection in Cost-Effectiveness Analysis

Linear regression models are often used to represent the cost and effectiveness of medical treatment. The covariates used may include sociodemographic variables, such as age, gender or race; clinical variables, such as initial health status, years of treatment or the existence of concomitant illness...

Descripción completa

Detalles Bibliográficos
Autores principales:	Negrín, Miguel A., Vázquez-Polo, Francisco J., Martel, María, Moreno, Elías, Girón, Francisco J.
Formato:	Texto
Lenguaje:	English
Publicado:	Molecular Diversity Preservation International (MDPI) 2010
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872346/ https://www.ncbi.nlm.nih.gov/pubmed/20617047 http://dx.doi.org/10.3390/ijerph7041577

Ejemplares similares

Bayesian Meta-Analysis for Binary Data and Prior Distribution on Models
por: Negrín-Hernández, Miguel-Angel, et al.
Publicado: (2021)

Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors
por: Martel-Escobar, María, et al.
Publicado: (2018)

Comprehensive management of obstructive sleep apnea by telemedicine: Clinical improvement and cost-effectiveness of a Virtual Sleep Unit. A randomized controlled trial
por: Lugo, Vera M., et al.
Publicado: (2019)

Biases and Variability from Costly Bayesian Inference
por: Prat-Carrabin, Arthur, et al.
Publicado: (2021)

Bayesian variable selection and survival modeling: assessing the Most important comorbidities that impact lung and colorectal cancer survival in Spain
por: Rubio, Francisco Javier, et al.
Publicado: (2022)

Bayesian neural networks with variable selection for prediction of genotypic values
por: van Bergen, Giel H. H., et al.
Publicado: (2020)

Contagious statistical distributions: k-connections and applications in infectious disease environments
por: García–García, Victoriano, et al.
Publicado: (2022)

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology
por: Bainter, Sierra A., et al.
Publicado: (2023)

Identifying rare and common variants with Bayesian variable selection
por: Oh, Cheongeun
Publicado: (2016)

Bayesian variable selection using Knockoffs with applications to genomics
por: Yap, Jurel K., et al.
Publicado: (2022)

Bayesian variable selection with a pleiotropic loss function in Mendelian randomization
por: Gkatzionis, Apostolos, et al.
Publicado: (2021)

Bayesian Variable Selection in Searching for Additive and Dominant Effects in Genome-Wide Data
por: Peltola, Tomi, et al.
Publicado: (2012)

Bayesian models for cost-effectiveness analysis in the presence of structural zero costs
por: Baio, Gianluca
Publicado: (2014)

VARIABLES INVOLVED IN THE MANAGEMENT OF SCHOOL BULLYING: A BAYESIAN NETWORK ANALYSIS
por: Bitencourt, Mariá Romanio, et al.
Publicado: (2020)

Bayesian variable selection logistic regression with paired proteomic measurements
por: Kakourou, Alexia, et al.
Publicado: (2018)

Bayesian cost-effectiveness analysis with the R package BCEA
por: Baio, Gianluca, et al.
Publicado: (2017)

Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology
por: Santra, Tapesh, et al.
Publicado: (2013)

A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims
por: Scheel, Ida, et al.
Publicado: (2013)

Bayesian variable selection based on clinical relevance weights in small sample studies—Application to colon cancer
por: Boulet, Sandrine, et al.
Publicado: (2019)

Identification of significant genes in genomics using Bayesian variable selection methods
por: Lin, Eugene, et al.
Publicado: (2008)

A Bayesian variable selection procedure to rank overlapping gene sets
por: Skarman, Axel, et al.
Publicado: (2012)

Bayesian variable selection with graphical structure learning: Applications in integrative genomics
por: Kundu, Suprateek, et al.
Publicado: (2018)

Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection
por: Zhao, Yize, et al.
Publicado: (2019)

Bayesian variable selection for high dimensional predictors and self-reported outcomes
por: Gu, Xiangdong, et al.
Publicado: (2020)

Identifying Gene–Environment Interactions With Robust Marginal Bayesian Variable Selection
por: Lu, Xi, et al.
Publicado: (2021)

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package
por: Pérez-Rodríguez, Paulino, et al.
Publicado: (2022)

Rank‐based Bayesian variable selection for genome‐wide transcriptomic analyses
por: Eliseussen, Emilie, et al.
Publicado: (2022)

Study of Bayesian variable selection method on mixed linear regression models
por: Li, Yong, et al.
Publicado: (2023)

Bayesian bi-level variable selection for genome-wide survival study
por: Lee, Eunjee, et al.
Publicado: (2023)

Accuracy of genomic prediction of maternal traits in pigs using Bayesian variable selection methods
por: Kjetså, Maria V., et al.
Publicado: (2022)

Bayesian Variable Selection and Estimation in Semiparametric Simplex Mixed-Effects Models with Longitudinal Proportional Data
por: Tang, Anmin, et al.
Publicado: (2022)

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP
por: van den Berg, S., et al.
Publicado: (2015)

Locating disease genes using Bayesian variable selection with the Haseman-Elston method
por: Oh, Cheongeun, et al.
Publicado: (2003)

Bayesian Variable Selection to identify QTL affecting a simulated quantitative trait
por: Schurink, Anouk, et al.
Publicado: (2012)

A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection
por: Cassese, Alberto, et al.
Publicado: (2014)

An Integrative Framework for Bayesian Variable Selection with Informative Priors for Identifying Genes and Pathways
por: Peng, Bin, et al.
Publicado: (2013)

Bayesian variable selection for parametric survival model with applications to cancer omics data
por: Duan, Weiwei, et al.
Publicado: (2018)

Identifying the source of food-borne disease outbreaks: An application of Bayesian variable selection
por: Jacobs, Rianne, et al.
Publicado: (2017)

Bayesian modeling for pro-environmental behavior data: sorting and selecting relevant variables
por: Reveco-Quiroz, Paula, et al.
Publicado: (2022)

Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models
por: Liang, Xitong, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_eifihfprsiqqemtk6l97k77bel