Hi everyone,

Need help with analysing this data. A description of the data: Individuals are biannually (or annually if they are high risk) invited to a screening program until the age of 60. After the age of 60, individuals can participate into the program but through self-referral. When individuals participate in the program some demographic and other information is collected during each participation round. I am interested in knowing what factors are associated with continuing to participate in the program (self-referral) after reaching the age limit of 60. Any suggestion what is the appropriate statistical model to analyse this type of data? Thanks in advance for your help

Below is a sample of the data. Thanks.

id age participation_date smoking familyhistorycancer gender

B001 58 5-Nov-12 0 1 0

B001 60 7-May-15 1 1 0

B001 62 9-Jun-17 0 1 0

B002 57 28-Nov-11 0 0 0

B002 58 22-Oct-12 0 0 0

B002 59 25-Nov-13 1 1 0

B002 60 10-Nov-14 1 1 0

B002 61 14-Dec-15 0 1 0

B002 62 12-Dec-16 0 1 0

B003 63 25-Feb-12 0 0 1

B003 64 8-Oct-13 0 0 1

B003 67 12-Feb-16 0 0 1

B004 66 16-Jun-12 1 0 0

B004 68 22-May-14 1 0 0

B005 59 17-Nov-12 1 1 1

B006 59 12-Mar-13 1 0 1

B006 61 29-Apr-15 0 0 1

B007 58 22-Jun-12 0 1 0

B007 60 4-Aug-14 0 1 0

B008 61 29-Jan-13 0 0 1

B008 63 4-Mar-15 0 1 1

B008 65 30-Mar-17 0 1 1

B009 59 28-Jan-15 1 0 0

B010 58 28-Feb-12 0 0 0

B010 61 3-Jun-14 0 0 0

B011 63 4-Feb-13 1 0 1

B011 66 17-Sep-15 1 0 1
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