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 *

106 related articles for article (PubMed ID: 14673812)

  • 1. An experiment on simplifying conjoint analysis designs for measuring preferences.
    Maddala T; Phillips KA; Reed Johnson F
    Health Econ; 2003 Dec; 12(12):1035-47. PubMed ID: 14673812
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effects of simplifying choice tasks on estimates of taste heterogeneity in stated-choice surveys.
    Johnson FR; Ozdemir S; Phillips KA
    Soc Sci Med; 2010 Jan; 70(2):183-90. PubMed ID: 19880234
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pilot study of a hierarchical Bayes method for utility estimation in a choice-based conjoint analysis of prescription benefit plans including medication therapy management services.
    Wellman GS; Vidican C
    Res Social Adm Pharm; 2008 Sep; 4(3):218-30. PubMed ID: 18794033
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The effect of information on preferences stated in a choice-based conjoint analysis.
    van Til JA; Stiggelbout AM; Ijzerman MJ
    Patient Educ Couns; 2009 Feb; 74(2):264-71. PubMed ID: 18954956
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Design techniques for stated preference methods in health economics.
    Carlsson F; Martinsson P
    Health Econ; 2003 Apr; 12(4):281-94. PubMed ID: 12652515
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Decision making heuristics and the elicitation of preferences: being fast and frugal about the future.
    Cairns J; van der Pol M; Lloyd A
    Health Econ; 2002 Oct; 11(7):655-8. PubMed ID: 12369067
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Measuring preferences for health care interventions using conjoint analysis: an application to HIV testing.
    Phillips KA; Maddala T; Johnson FR
    Health Serv Res; 2002 Dec; 37(6):1681-705. PubMed ID: 12546292
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using willingness to pay to measure family members' preferences in mental health.
    Mulvaney-Day NE
    J Ment Health Policy Econ; 2005 Jun; 8(2):71-81. PubMed ID: 15998979
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force.
    Reed Johnson F; Lancsar E; Marshall D; Kilambi V; Mühlbacher A; Regier DA; Bresnahan BW; Kanninen B; Bridges JF
    Value Health; 2013; 16(1):3-13. PubMed ID: 23337210
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigating the structural reliability of a discrete choice experiment within health technology assessment.
    Ratcliffe J; Longworth L
    Int J Technol Assess Health Care; 2002; 18(1):139-44. PubMed ID: 11987437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Empirical investigation of experimental design properties of discrete choice experiments in health care.
    Viney R; Savage E; Louviere J
    Health Econ; 2005 Apr; 14(4):349-62. PubMed ID: 15712274
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Patient preferences for depression treatment programs and willingness to pay for treatment.
    Morey E; Thacher JA; Craighead WE
    J Ment Health Policy Econ; 2007 Jun; 10(2):73-85. PubMed ID: 17603148
    [TBL] [Abstract][Full Text] [Related]  

  • 13. "Quick and dirty numbers"? The reliability of a stated-preference technique for the measurement of preferences for resource allocation.
    Schwappach DL; Strasmann TJ
    J Health Econ; 2006 May; 25(3):432-48. PubMed ID: 16139907
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Does the number of choice sets matter? Results from a web survey applying a discrete choice experiment.
    Bech M; Kjaer T; Lauridsen J
    Health Econ; 2011 Mar; 20(3):273-86. PubMed ID: 20143304
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Measuring what people value: a comparison of "attitude" and "preference" surveys.
    Phillips KA; Johnson FR; Maddala T
    Health Serv Res; 2002 Dec; 37(6):1659-79. PubMed ID: 12546291
    [TBL] [Abstract][Full Text] [Related]  

  • 16. How to do (or not to do) ... Designing a discrete choice experiment for application in a low-income country.
    Mangham LJ; Hanson K; McPake B
    Health Policy Plan; 2009 Mar; 24(2):151-8. PubMed ID: 19112071
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care.
    Flynn TN; Bilger M; Malhotra C; Finkelstein EA
    Pharmacoeconomics; 2016 Mar; 34(3):273-84. PubMed ID: 26589411
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Trends in HIV testing and differences between planned and actual testing in the United States, 2000-2005.
    Ostermann J; Kumar V; Pence BW; Whetten K
    Arch Intern Med; 2007 Oct; 167(19):2128-35. PubMed ID: 17954809
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Patient preferences and willingness to wait for a work-related orthopaedic rehabilitation: a discrete choice experiment].
    Bethge M
    Gesundheitswesen; 2009 Mar; 71(3):152-60. PubMed ID: 19288431
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments.
    Jonker MF; Donkers B; de Bekker-Grob E; Stolk EA
    Health Econ; 2019 Mar; 28(3):350-363. PubMed ID: 30565338
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.