A review of multi-attribute health state scaling instruments

被引:0
|
作者
Nord, E [1 ]
机构
[1] NATL INST PUBL HLTH,OSLO,NORWAY
关键词
D O I
暂无
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
引用
收藏
页码:270 / 270
页数:1
相关论文
共 50 条
  • [21] Multi-attribute sequential search
    Bearden, J. Neil
    Connolly, Terry
    ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 2007, 103 (01) : 147 - 158
  • [22] Multi-attribute proportional representation
    Lang, Jerome
    Skowron, Piotr
    ARTIFICIAL INTELLIGENCE, 2018, 263 : 74 - 106
  • [23] Multi-attribute decisions in construction
    Peldschus, Friedel
    TRANSFORMATIONS IN BUSINESS & ECONOMICS, 2008, 7 (02): : 163 - 165
  • [24] A Checklist for Reporting Valuation Studies of Multi-Attribute Utility-Based Instruments (CREATE)
    Xie, Feng
    Pickard, A. Simon
    Krabbe, Paul F. M.
    Revicki, Dennis
    Viney, Rosalie
    Devlin, Nancy
    Feeny, David
    PHARMACOECONOMICS, 2015, 33 (08) : 867 - 877
  • [25] Multi-attribute aggregation operators
    Ricci, Roberto Ghiselli
    Mesiar, Radko
    FUZZY SETS AND SYSTEMS, 2011, 181 (01) : 1 - 13
  • [26] A Checklist for Reporting Valuation Studies of Multi-Attribute Utility-Based Instruments (CREATE)
    Feng Xie
    A. Simon Pickard
    Paul F. M. Krabbe
    Dennis Revicki
    Rosalie Viney
    Nancy Devlin
    David Feeny
    PharmacoEconomics, 2015, 33 : 867 - 877
  • [27] Can Multi-attribute Utility Instruments Adequately Account for Subjective Well-being?
    Richardson, Jeff
    Chen, Gang
    Khan, Munir A.
    Iezzi, Angelo
    MEDICAL DECISION MAKING, 2015, 35 (03) : 292 - 304
  • [28] Multi-Attribute Proportional Representation
    Lang, Jerome
    Skowron, Piotr
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 530 - 536
  • [29] Explicit methods for attribute weighting in multi-attribute decision-making: a review study
    Julio Pena
    Gonzalo Nápoles
    Yamisleydi Salgueiro
    Artificial Intelligence Review, 2020, 53 : 3127 - 3152
  • [30] Explicit methods for attribute weighting in multi-attribute decision-making: a review study
    Pena, Julio
    Napoles, Gonzalo
    Salgueiro, Yamisleydi
    ARTIFICIAL INTELLIGENCE REVIEW, 2020, 53 (05) : 3127 - 3152