SAS - Working with consecutive months?

Question

From the sample data below, I'm trying to identify accounts (by ID and SEQ) where there is an occurence of STATUS_DATE for at least 3 consecutive months. I've been messing with this for a while and I'm not at all sure how to tackle it.

Sample Data:

ID     SEQ   STATUS_DATE
11111    1   01/01/2014
11111    1   02/10/2014
11111    1   03/15/2014
11111    1   05/01/2014
11111    2   01/30/2014
22222    1   06/20/2014
22222    1   07/15/2014
22222    1   07/16/2014
22222    1   08/01/2014
22222    2   02/01/2014
22222    2   09/10/2014

What I need to return:

ID      SEQ   STATUS_DATE
11111    1    01/01/2014
11111    1    02/10/2014
11111    1    03/15/2014
22222    1    06/20/2014
22222    1    07/15/2014
22222    1    07/16/2014
22222    1    08/01/2014

Any help would be appreciated.

Answer 1

Here is one method:

data have;
input ID     SEQ   STATUS_DATE $12.;
datalines;
11111    1   01/01/2014
11111    1   02/10/2014
11111    1   03/15/2014
11111    1   05/01/2014
11111    2   01/30/2014
22222    1   06/20/2014
22222    1   07/15/2014
22222    1   07/16/2014
22222    1   08/01/2014
22222    2   02/01/2014
22222    2   09/10/2014
;
run;

data grouped (keep = id seq status_date group) groups (keep = group2);
    set have;
    sasdate = input(status_date, mmddyy12.);
    month = month(sasdate);
    year = year(sasdate);
    pdate = intnx('month', sasdate, -1);
    if lag(year) = year(sasdate) and lag(month) = month(sasdate) then group+0;
    else if lag(year) = year(pdate) and lag(month) = month(pdate) then count+1;
    else do;
        group+1;
        count = 0;
    end;
    if count = 0 and lag(count) > 1 then do;
        group2 = group-1;
        output groups;
    end;
    output grouped;
run;

data want (keep = id seq status_date);
    merge grouped groups (in=a rename=(group2=group));
    by group;
    if a;
run;

Basically I give observations the same group number if they are in consecutive months, then also create a data set with group numbers of groups with more than 2 observations. Then I merge those two data sets and only keep observations which are in the second data set, that is, those with more than 2 observations.