C. Groothuis-Oudshoorn

Preferences for Colorectal Cancer Screening Techniques and Intention to Attend: a Multi-Criteria Decision Analysis

Maarten J. IJzerman, J. Marjan Hummel, L. Steuten, 2013, Applied Health Economics and Health Policy.

Fully conditional specification in multivariate imputation

D. Rubin, S. van Buuren, J. Brand, 2006 .

Evaluation of three machine learning models for self-referral decision support on low back pain in primary care

Catharina G. M. Groothuis-Oudshoorn, Mannes Poel, Hermie Hermens, 2018, Int. J. Medical Informatics.

Using supervised machine learning for B2B sales forecasting: A case study of spare parts sales forecasting at an after-sales service provider

D. Rohaan, E. Topan, Catharina G. M. Groothuis-Oudshoorn, 2021, Expert Syst. Appl..

Applying Machine Learning on Patient-Reported Data to Model the Selection of Appropriate Treatments for Low Back Pain: A Pilot Study

Catharina G. M. Groothuis-Oudshoorn, Mannes Poel, Hermie Hermens, 2020, HEALTHINF.

OP01 Convergent Validity Between Discrete Choice Experiment And Other Stated Preference Methods: A Multistudy Comparison

T. Tervonen, J. Veldwijk, E. D. de Bekker-Grob, 2022, International Journal of Technology Assessment in Health Care.

Words or graphics to present a Discrete Choice Experiment: Does it matter?

Janine A van Til, Catharina G M Groothuis-Oudshoorn, Jorien Veldwijk, 2015, Patient education and counseling.

Current Practices for Accounting for Preference Heterogeneity in Health-Related Discrete Choice Experiments: A Systematic Review

C. G. Groothuis-Oudshoorn, C. Vass, Benjamin Matthew Craig, 2022, PharmacoEconomics.

Exploring the importance of controlling heteroskedasticity and heterogeneity in health valuation: a case study on Dutch EQ-5D-5L

C. G. Groothuis-Oudshoorn, Benjamin Matthew Craig, Suzana Karim, 2022, Health and Quality of Life Outcomes.