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.