Comparing participants and non-participants
To analyze potential differences between participants and non-participants, each sub-study will summarize sex, age at diagnosis, type of cancer, attained age and cancer treatment for participants and non-participants, using Student’s t-tests (for normally distributed data) or Mann Whitney U test (for non-normally distributed data) when variables are continuous and Chi square test (if n≥5) or Fisher’s exact test (if n<5) when variables are categorical.