PrefER Selected Publications

PrefER Selected Publications

Following is a listing of select published papers over the last 10 years that represent best-practice applications and methods development.

Selected Publications

Fairchild AO, Reed SD, Johnson FR, Anglin G, Wolka AM, Noel RA. What is clearance worth? Patients' stated risk tolerance for psoriasis treatments. J Dermatolog Treat. 2017 Jun 7:1-7. Available at:

Marshall DA, Gonzalez JM, MacDonald KV, Johnson FR.  Estimating Preferences for Complex Health Technologies: Lessons Learned and Implications for Personalized Medicine. Value Health. 2017 Jan;20(1):32-39.

Johnson FR, Zhou M. Patient Preferences in Regulatory Benefit-Risk Assessments: A US PerspectiveValue in Health. 2016;19(6):741-745.

Mühlbacher A, Johnson FR. Choice Experiments to Quantify Preferences for Health and Healthcare: State of the Practice. Applied Health Economics and Health Policy, 2016. 14(3): 253-266.

Mühlbacher A, Bethge S, Reed SD, Schulman KA. Patient preferences for features of health care delivery systems: A discrete-choice experiment. Health Services Research. 2016;51(2):704-27.

Gonzalez JM, Johnson FR, McAteer H, Posner J, Mughal F. Comparing preferences for outcomes of psoriasis treatments among patients and dermatologists in the UK: results from a discrete-choice experiment. British Journal of Dermatology2016 Jun 13. doi: 10.1111/bjd.14798.

Hauber AB, Gonzalez JM, 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 in Health 2016;19:300-15.

Yang JC, Johnson FR, Kilambi V, Mohamed AF. Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approachJournal of  Choice Modelling. 2015;16:50-57.

Zhang J, Johnson FR, Mohamed AF, Hauber AB.  Too Many Attributes: A Test of the Validity of Combining Discrete-Choice and Best-Worst Scaling Data.J Choice Modelling. 2015;15:1-13.

Gonzalez JM, Hauber AB, Johnson FR. Estimating conditional certainty equivalents using choice-experiment data. J Choice Model. 2015;15:14-25.

Ho MP, Gonzalez JM, Lerner HP, Neuland CY, Whang JM, McMurry-Heath M. Incorporating patient-preference evidence into regulatory decision making. Surg Endosc. 2015;29:2984-93.

Havrilesky LJ, Secord AA, Ehrisman JA, Berchuck A, Valea FA, Lee PS, Gaillard S, Samsa G, Cella D, Weinfurt KP, Abernethy AP, Reed SD. A conjoint analysis of the preferences of women with ovarian cancer for attributes of treatment and  disease. Cancer. 2014;120(23):3651-9.

Johnson FR, Lancsar E, Marshall D, Kilambi V, Mühlbacher A, Regier DA, Bresnahan BW, Kanninen B, and Bridges JFP. Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental  Design Good Research Practices Task Force. Value in Health 2013;16(1): 3-13.

Van Houtven G, Johnson FR, Kilambi V, Hauber AB. Eliciting benefit-risk preferences and probability-weighted utility using choice-format conjoint  analysis. Medical Decision Making. 2011;31(3):469-80.

Johnson FR, Hauber AB, Özdemir S, Siegel CA, Hass S, Sands BE. Are  gastroenterologists less tolerant of treatment risks than patients? Benefit-risk preferences in Crohn’s disease management. Journal of Managed Care Pharmacy. 2010;16(8):616-28.

Hauber AB, Johnson FR, Özdemir S. Using conjoint analysis to estimate healthy-year equivalents for acute conditions: An application to vasomotor symptoms.Value in Health. 2009;12(1):146-52.

Johnson FR, Özdemir S, Mansfield CA, Hass S, Miller DW, Siegel CA, Sands BE.  Crohn’s disease patients’ benefit-risk preferences: Serious adverse event risks  versus treatment efficacy. Gastroenterology. 2007;133(3):769-79.

Johnson FR, Hauber AB, Osoba D, Hsu MA, Coombs J, Copley-Merriman C. Are chemotherapy patients' HRQoL importance weights consistent with linear scoring rules? A stated-choice approach.Quality of Life Research. 2006;15(2):285-98.