About: Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments

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About: Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments Goto Sponge NotDistinct Permalink

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scientific article published on 18 December 2018

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в грудні 2018 (uk) im Dezember 2018 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu n'avientu de 2018 (ast) scientific article published on 18 December 2018 (en)
publication date	wds:Q90628554-45C7DDD6-16CC-4084-B81C-B3BA18C6A065
publication date	2018-12-18 00:00:00Z (xsd:dateTime)
cites work	wds:Q90628554-02DA96A7-85E2-4185-9317-66B968C2A060 wds:Q90628554-076908A2-C03A-458A-86EC-77B77B924B9C wds:Q90628554-17816E43-CDBD-4AB5-AF60-7B58687A817A wds:Q90628554-2C5F34C7-4CB3-4956-AC53-89DA5BCCB899 wds:Q90628554-5111FC28-AD7C-4212-B134-8BFB682B1A62 wds:Q90628554-5798BE82-44FB-4587-9E20-37E5FFBE0F50 wds:Q90628554-59E14A95-7098-4897-836C-57A6B90BF339 wds:Q90628554-5A0BB4A4-DFA4-4601-A69F-C4FAA2DA54F9 wds:Q90628554-5A9CB0DE-91E1-40F7-9D34-F1580BF13459 wds:Q90628554-632C375F-29F0-4B4C-9F40-B375E0374ADE wds:Q90628554-66A8ADF6-4A6C-4A6D-9DEA-515248D61754 wds:Q90628554-66BA2DB8-31D6-478D-B1F8-5E458298E434 wds:Q90628554-6E55F387-839E-481B-AA83-D798DE094D5C wds:Q90628554-8CFC7D57-44FD-4368-8F3D-236467C8CBFE wds:Q90628554-8EAC38D2-096A-4A09-AE32-CB7442AC5ECA wds:Q90628554-9A5A9BAA-2A9D-435D-8614-5AB6FCDB0D33 wds:Q90628554-9BE7F05E-FE65-427F-9EF2-24E122DF6A17 wds:Q90628554-B8EDFF9E-66E2-4CA7-8FBE-2C74A871D282 wds:Q90628554-C083F7DE-FFFF-4F0C-A6A9-9E1D89229314 wds:Q90628554-E2994E63-C432-43D3-BFA1-3D7DBE384A52 wds:Q90628554-E2E2B45D-1A1D-41DD-A804-245E66FDDC1D wds:Q90628554-E4A7B2BD-5232-4D02-921D-798675B7E7D4 wds:Q90628554-E4F5C6AF-4AB8-4991-933F-02FFA729F434 wds:Q90628554-E8DEE723-BD68-48BB-82B4-A9F3FFBA4136 wds:Q90628554-ED8820AE-F032-43D5-8906-490273908B1D wds:Q90628554-F7FBA91D-685C-4E48-9D1A-507D74FD72F3 wds:Q90628554-FACF94BF-2B62-4BBC-9976-22F01B8BCC67
cites work	The importance of the normality assumption in large public health data sets Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force Ordering effect and price sensitivity in discrete choice experiments: need we worry? Using a discrete choice experiment to estimate health state utility values. Does the number of choice sets matter? Results from a web survey applying a discrete choice experiment Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity. An Australian discrete choice experiment to value eq-5d health states Patient preferences and assessment of likely adherence to hepatitis C virus treatment Is Dimension Order Important when Valuing Health States Using Discrete Choice Experiments Including Duration? Empirical investigation of experimental design properties of discrete choice experiments in health care An experiment on simplifying conjoint analysis designs for measuring preferences Reduce mortality risk above all else: a discrete-choice experiment in acute coronary syndrome patients Dutch Tariff for the Five-Level Version of EQ-5D. Willingness to pay for public health policies to treat illnesses Discrete Choice Experiment Response Rates: A Meta-analysis. The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format. Effect of Level Overlap and Color Coding on Attribute Non-Attendance in Discrete Choice Experiments First and Foremost Battle the Virus: Eliciting Patient Preferences in Antiviral Therapy for Hepatitis C Using a Discrete Choice Experiment Are Health State Valuations from the General Public Biased? A Test of Health State Reference Dependency Using Self-assessed Health and an Efficient Discrete Choice Experiment. Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care Empirical Testing of the External Validity of a Discrete Choice Experiment to Determine Preferred Treatment Option: The Case of Sleep Apnea. Designing Conjoint Choice Experiments Using Managers’ Prior Beliefs Evaluating migraineurs' preferences for migraine treatment outcomes using a choice experiment. Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field Advocating a Paradigm Shift in Health-State Valuations: The Estimation of Time-Preference Corrected QALY Tariffs GPs' implicit prioritization through clinical choices - evidence from three national health services
author name string	wds:Q90628554-AD577155-673B-4A81-B295-55DE121DBB71 wds:Q90628554-F67F4214-7CDD-4C7C-AB33-F9EA5622EDA4
author name string	Elly A Stolk Bas Donkers
rdfs:label	Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (en) Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (nl)
skos:prefLabel	Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (en) Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (nl)
name	Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (en) Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (nl)
author	wds:Q90628554-6D8CBB89-AFED-4A58-BDFA-8F3269D3C40F wds:Q90628554-E724A603-ABE8-473A-93D8-125E8761BDA9
author	Esther W de Bekker-Grob Marcel F Jonker
title	wds:Q90628554-14ADA9D9-8018-4BB0-A209-C8BA03681852
title	Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments (en)
page(s)	wds:Q90628554-61C0D64B-57DC-4A0B-875B-393360A520FC
page(s)	350-363
instance of	wds:Q90628554-D0247A15-694C-487E-B4B4-5AEA03CC3A88
instance of	scholarly article
PubMed ID	wds:Q90628554-B78E0658-4862-4A90-834A-BDDE6B322DF0
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30565338
PubMed ID	30565338
published in	wds:Q90628554-7DA65FE5-7622-4854-818F-6C4DA733BAA7
published in	Health Economics
issue	wds:Q90628554-EBF88227-6476-4BD0-8E2D-74B3966FD66A
volume	wds:Q90628554-A0336D64-511A-4462-8687-678999FFAB80
issue	3
volume	28
DOI	wds:Q90628554-3BB5ACBB-F485-40C8-871E-8CE116FAB738
DOI	http://dx.doi.org/10.1002/HEC.3846
DOI	10.1002/HEC.3846
PMCID	wds:Q90628554-E5A6642E-5C23-4E29-B417-92D5E3BAB04F
PMCID	6590347
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q90628554
is cites work of	The Fold-in, Fold-out Design for DCE Choice Tasks: Application to Burden of Disease Using a stated preference discrete choice experiment to assess societal value from the perspective of patients with rare diseases in Italy Discrete choice experiment to evaluate preferences of patients with cystic fibrosis among alternative treatment-related health outcomes: a protocol

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