Dear Professor, I'm here again to seek help, thank you in advance. My experimental background is oncologists making decisions on the treatment methods for cancer patients.
Because oncologists do not make decisions for themselves, but for patients, they will face different patient profiles.
Q1: My question is about how to design scenarios. Can it be implemented in Ngene software?
For example, I got 5 attributes for patient profiles (such as age>65 or not, with or without comorbid conditions, …), and 7 attributes for the discrete choice experiment.
I saw from the literature that the author's handling method is: “by obtaining descriptive information from physicians on attributes of patients from their practices, then developing attribute distributions to identify average splits. However, the author did not explain the details of how to operate.
I realized that if we assume that all 5 patient profile attributes are only 2 categories, there will be 32 scenario combinations, and then adding 7 DCE attributes (assuming I will generate 36 selection sets and divide them into 3 blocks) will make the experimental design and subsequent investigation very complex.
Q2: How to conduct subsequent analysis?
Do these 5 patient profile attributes still need to be included in the subsequent analysis?
If necessary, how to include it? Is it necessary to perform an interaction analysis between these attributes and DCE's attributes?
Thank you for patiently guiding me.