Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals
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DOI: 10.1371/journal.pone.0216075
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- John Horton & David Rand & Richard Zeckhauser, 2011.
"The online laboratory: conducting experiments in a real labor market,"
Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
- John J. Horton & David G. Rand & Richard J. Zeckhauser, 2010. "The Online Laboratory: Conducting Experiments in a Real Labor Market," NBER Working Papers 15961, National Bureau of Economic Research, Inc.
- Horton, John Joseph & Rand, David Gertler & Zeckhauser, Richard Jay, 2010. "The Online Laboratory: Conducting Experiments in a Real Labor Market," Scholarly Articles 4448876, Harvard Kennedy School of Government.
- Horton, John J. & Rand, David G. & Zeckhauser, Richard, 2010. "The Online Laboratory: Conducting Experiments in a Real Labor Market," Working Paper Series rwp10-017, Harvard University, John F. Kennedy School of Government.
- Jorien Veldwijk & Mattijs S Lambooij & Esther W de Bekker-Grob & Henriëtte A Smit & G Ardine de Wit, 2014. "The Effect of Including an Opt-Out Option in Discrete Choice Experiments," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
- Jeff Brazell & Christopher Diener & Ekaterina Karniouchina & William Moore & Válerie Séverin & Pierre-Francois Uldry, 2006. "The no-choice option and dual response choice designs," Marketing Letters, Springer, vol. 17(4), pages 255-268, December.
- Vick, Sandra & Scott, Anthony, 1998. "Agency in health care. Examining patients' preferences for attributes of the doctor-patient relationship," Journal of Health Economics, Elsevier, vol. 17(5), pages 587-605, October.
- Joanna Coast & Hareth Al‐Janabi & Eileen J. Sutton & Susan A. Horrocks & A. Jane Vosper & Dawn R. Swancutt & Terry N. Flynn, 2012. "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 730-741, June.
- Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
- Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
- Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
- Alan Shiell & Penelope Hawe & Janelle Seymour, 1997. "Values and preferences are not necessarily the same," Health Economics, John Wiley & Sons, Ltd., vol. 6(5), pages 515-518, September.
- Daniele Pacifico & Hong il Yoo, 2012.
"A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm,"
Discussion Papers
2012-49, School of Economics, The University of New South Wales.
- Daniele Pacifico & Hong il Yoo, 2012. "Iclogit: a Stata module for estimating a mixed logit model with discrete mixing distribution via the Expectation-Maximization algorithm," Working Papers 6, Department of the Treasury, Ministry of the Economy and of Finance.
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Cited by:
- Magda Aguiar & Mark Harrison & Sarah Munro & Tiasha Burch & K. Julia Kaal & Marie Hudson & Nick Bansback & Tracey-Lea Laba, 2021. "Designing Discrete Choice Experiments Using a Patient-Oriented Approach," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(4), pages 389-397, July.
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