Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters.
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A closer look at decision and analyst error by including nonlinearities in discrete choice models: implications on willingness-to-pay estimates derived from discrete choice data in healthcare.Prioritising health service innovation investments using public preferences: a discrete choice experimentAre Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care.Scoring the Icecap-a capability instrument. Estimation of a UK general population tariff.Mobility Is a Key Predictor of Change in Well-Being Among Older Adults Who Experience Falls: Evidence From the Vancouver Falls Prevention Clinic Cohort.Household Size and the Decision to Purchase Health Insurance in Cambodia: Results of a Discrete-Choice Experiment with Scale Adjustment.US valuation of the SF-6D.Using surveys to calculate disability-adjusted life-year.Modeling Preference and Willingness to Pay for Drought Tolerance (DT) in Maize in Rural Zimbabwe.Valuing citizen and patient preferences in health: recent developments in three types of best-worst scaling.Ordering errors, objections and invariance in utility survey responses: a framework for understanding who, why and what to do.Probabilistic choice models in health-state valuation research: background, theories, assumptions and applications.Do patients and health care providers have discordant preferences about which aspects of treatments matter most? Evidence from a systematic review of discrete choice experiments.MCDA swing weighting and discrete choice experiments for elicitation of patient benefit-risk preferences: a critical assessment.Investigating the preferences of older people for telehealth as a new model of health care service delivery: A discrete choice experiment.Developing adolescent-specific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D.Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.Measuring and valuing quality of life for public health research: application of the ICECAP-O capability index in the Australian general population.Women and their partners' preferences for Down's syndrome screening tests: a discrete choice experiment.Quality of life and patient preferences: identification of subgroups of multiple sclerosis patients.Scale Heterogeneity in Healthcare Discrete Choice Experiments: A Primer.Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.Integrating Cognitive Process and Descriptive Models of Attitudes and PreferencesAustralian Public Preferences for the Funding of New Health Technologies
P2860
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P2860
Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Using discrete choice experime ...... e-scale heterogeneity matters.
@en
Using discrete choice experime ...... e-scale heterogeneity matters.
@nl
type
label
Using discrete choice experime ...... e-scale heterogeneity matters.
@en
Using discrete choice experime ...... e-scale heterogeneity matters.
@nl
prefLabel
Using discrete choice experime ...... e-scale heterogeneity matters.
@en
Using discrete choice experime ...... e-scale heterogeneity matters.
@nl
P1476
Using discrete choice experime ...... e-scale heterogeneity matters.
@en
P2093
Jordan J Louviere
Terry Nicholas Flynn
P304
P356
10.1016/J.SOCSCIMED.2010.03.008
P407
P577
2010-03-23T00:00:00Z