Stated-Preference Survey Design and Testing in Health Applications

Author:

Marshall Deborah A.ORCID,Veldwijk JorienORCID,Janssen Ellen M.ORCID,Reed Shelby D.ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Engineering

Reference67 articles.

1. U.S. Department of Health and Human Services Food and Drug Administration, Center for Devices and Radiological Health and Center for Biologics Evaluation and Research. Patient Preference Information—Voluntary Submission, Review in Premarket Approval Applications, Humanitarian Device Exemption Applications, and De Novo Requests, and Inclusion in Decision Summaries and Device Labeling: Guidance for Industry, Food and Drug Administration Staff, and other Stakeholders. http://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm446680.pdf Accessed 24 Aug 2016.

2. Medical Device Innovation Consortium. A framework for incorporating information on patient preferences regarding benefit and risk into regulatory assessments of new medical technology. 2015. http://mdic.org/wp-content/uploads/2015/05/MDIC_PCBR_Framework_Web1.pdf.

3. Bridges JFP, de Bekker-Grob EW, Hauber AB, Heidenreich S, Janssen E, Bast A, Hanmer J, Danyliv A, Low E, Bouvy JC, Marshall DA. A roadmap for increasing the usefulness and impact of patient-preference studies in decision making in health: a good practices report of an ISPOR task force. Value Health. 2023;26(2):153–62.

4. Hauber AB, Marcos Gonzales J, Groothuis-Oudshoorn CGM, Prior T, Marshall DA, Cunningham C, IJzerman MJ, Bridges JFP. Statistical methods for the analysis of discrete-choice experiments: a report of the ISPOR Conjoint Analysis Good Research Practices Task Force. Value Health. 2016;19(4):300–15.

5. Johnson FR, Lancsar E, Marshall DA, Kilambi V, Mühlbacher A, Regier DA, Bresnahan BW, Kanninen B, Bridges JFP. Constructing experimental designs for discrete-choice experiments: report of the ISPOR conjoint analysis experimental design good research practices task force. Value Health. 2013;16:3–13.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3