These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

100 related articles for article (PubMed ID: 24041353)

  • 1. Modeling SF-6D Hong Kong standard gamble health state preference data using a nonparametric Bayesian method.
    Kharroubi SA; Brazier JE; McGhee S
    Value Health; 2013; 16(6):1032-45. PubMed ID: 24041353
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling HUI 2 health state preference data using a nonparametric Bayesian method.
    Kharroubi SA; McCabe C
    Med Decis Making; 2008; 28(6):875-87. PubMed ID: 18971313
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A comparison of Hong Kong and United Kingdom SF-6D health states valuations using a nonparametric Bayesian method.
    Kharroubi SA; Brazier JE; McGhee S
    Value Health; 2014 Jun; 17(4):397-405. PubMed ID: 24969000
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling a preference-based index for two condition-specific measures (asthma and overactive bladder) using a nonparametric Bayesian method.
    Kharroubi SA; Brazier JE; Yang Y
    Value Health; 2014 Jun; 17(4):406-15. PubMed ID: 24969001
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Bayesian Nonparametric Approach for Modeling SF-6D Health State Utility Scores.
    Kharroubi SA
    Value Health Reg Issues; 2022; 27():1-11. PubMed ID: 34784542
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method.
    Kharroubi S; Brazier JE; O'Hagan A
    Soc Sci Med; 2007 Mar; 64(6):1242-52. PubMed ID: 17157971
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modelling SF-6D health state preference data using a nonparametric Bayesian method.
    Kharroubi SA; Brazier JE; Roberts J; O'Hagan A
    J Health Econ; 2007 May; 26(3):597-612. PubMed ID: 17069909
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of contemporaneous EQ-5D and SF-6D responses using scoring algorithms derived from similar valuation exercises.
    Whitehurst DG; Norman R; Brazier JE; Viney R
    Value Health; 2014 Jul; 17(5):570-7. PubMed ID: 25128050
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting SF-6D from the European Organization for Treatment and Research of Cancer Quality of Life Questionnaire scores in patients with colorectal cancer.
    Wong CK; Lam CL; Wan YF; Rowen D
    Value Health; 2013; 16(2):373-84. PubMed ID: 23538190
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Portuguese value set for the SF-6D.
    Ferreira LN; Ferreira PL; Pereira LN; Brazier J; Rowen D
    Value Health; 2010 Aug; 13(5):624-30. PubMed ID: 20230545
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mapping the Functional Assessment of Cancer Therapy-general or -Colorectal to SF-6D in Chinese patients with colorectal neoplasm.
    Wong CK; Lam CL; Rowen D; McGhee SM; Ma KP; Law WL; Poon JT; Chan P; Kwong DL; Tsang J
    Value Health; 2012 May; 15(3):495-503. PubMed ID: 22583460
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Use of Bayesian methods to model the SF-6D health state preference based data.
    Kharroubi SA
    Health Qual Life Outcomes; 2018 Dec; 16(1):234. PubMed ID: 30563528
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Modelling a preference-based index for EQ-5D using a non-parametric Bayesian method.
    Kharroubi SA; Daher CA
    Qual Life Res; 2018 Nov; 27(11):2841-2850. PubMed ID: 30008157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Valuation of preference-based measures: can existing preference data be used to generate better estimates?
    Kharroubi SA
    Health Qual Life Outcomes; 2018 Jun; 16(1):116. PubMed ID: 29866108
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Comparison of Japan and U.K. SF-6D Health-State Valuations Using a Non-Parametric Bayesian Method.
    Kharroubi SA
    Appl Health Econ Health Policy; 2015 Aug; 13(4):409-20. PubMed ID: 25896874
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of United States and United Kingdom EQ-5D health states valuations using a nonparametric Bayesian method.
    Kharroubi SA; O'Hagan A; Brazier JE
    Stat Med; 2010 Jul; 29(15):1622-34. PubMed ID: 20209481
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using the Multiple Sclerosis Impact Scale to estimate health state utility values: mapping from the MSIS-29, version 2, to the EQ-5D and the SF-6D.
    Hawton A; Green C; Telford C; Zajicek J; Wright D
    Value Health; 2012 Dec; 15(8):1084-91. PubMed ID: 23244811
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimating the SF-6D value set for a population-based sample of Brazilians.
    Cruz LN; Camey SA; Hoffmann JF; Rowen D; Brazier JE; Fleck MP; Polanczyk CA
    Value Health; 2011; 14(5 Suppl 1):S108-14. PubMed ID: 21839880
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating a preference-based index from the Japanese SF-36.
    Brazier JE; Fukuhara S; Roberts J; Kharroubi S; Yamamoto Y; Ikeda S; Doherty J; Kurokawa K
    J Clin Epidemiol; 2009 Dec; 62(12):1323-31. PubMed ID: 19615856
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian modeling of health state preferences: could borrowing strength from existing countries' valuations produce better estimates.
    Kharroubi SA; Beyh Y
    Eur J Health Econ; 2021 Jul; 22(5):773-788. PubMed ID: 33761028
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.