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Katharina Schmidt,1 Kathrin Damm,1 Arndt Vogel,2 Heiko Golpon,3,4 Michael P Manns,2 Tobias Welte,3,4 J-Matthias Graf von der Schulenburg1,4 1Leibniz University of Hannover, Center for Health Economics Research (CHERH), Hannover, Germany; 2Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany; 3Department of Pneumology, Hannover Medical School, Hannover, Germany; 4Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany Objectives: There is increasing interest in studies that examine patient preferences to measure health-related outcomes. Understanding patients’ preferences can improve the treatment process and is particularly relevant for oncology. In this study, we aimed to identify the subgroup-specific treatment preferences of German patients with lung cancer (LC) or colorectal cancer (CRC). Methods: Six discrete choice experiment (DCE) attributes were established on the basis of a systematic literature review and qualitative interviews. The DCE analyses comprised generalized linear mixed-effects model and latent class mixed logit model. Results: The study cohort comprised 310 patients (194 with LC, 108 with CRC, 8 with both types of cancer) with a median age of 63 (SD =10.66) years. The generalized linear mixed-effects model showed a significant (P