Hello,
I have two data sets, each containg 3 fields.
Data Set A
ID Void_BGN_DT Void_END_DT
A JULY 1 2015 July31 2015
.
.
Data Set B
ID Active_BGN_DT Active_END_DT
A July1 2015 July15 2015
A July16 2015 July31 2015
I want to combine the date segments in Data set B since they are continuous and replace the void date segment in data set A.
Thank you.
Ah, I see you posted this three times. My answer hasn't changed:
data want (drop=_:); set have (rename=(act_bgn=_act_bgn)); format ACT_BGN date9.; retain ACT_BGN; by MEM_ID; set have ( firstobs = 2 keep = act_bgn rename = (act_bgn = _Next_act_bgn) ) have ( obs = 1 drop = _all_ ); if first.MEM_ID then act_bgn=_act_bgn; if act_end+1 ne _Next_act_bgn then do; output; act_bgn=_Next_act_bgn; end; run;
Art, CEO, AnalystFinder.com
Your question appears to have two components:
1. Identify and create continuous periods of enrollment for a particular individual/policy
2. Update data in a second dataset based on information from Part #1.
For solution to #1, search for 'continuous enrollment' on here you'll find many answered questions identical to your situation.
For the second part, please clarify how you the record would be updated.
Hi,
I will rephrase my question here. I'm dealting with two sets of date segments in a single data set. Please find the example below:
MEM_ID VOID_BGN VOID_END ACT_BGN ACT_END
H 01JUN2015 31MAY2016 01JUN2015 30JUN2015
H 01JUN2015 31MAY2016 01JUL2015 29FEB2016
H 01JUN2015 31MAY2016 01MAR2016 31MAR2016
H 01JUN2015 31MAY2016 01APR2016 30APR2016
H 01JUN2015 31MAY2016 01MAY2016 31MAY2016
H 01MAR2016 31MAY2016 01MAR2016 31MAR2016
H 01MAR2016 31MAY2016 01APR2016 30APR2016
H 01MAR2016 31MAY2016 01MAY2016 31MAY2016
I have two date segments in this data set in the form of void and active. For each MEM_ID I'm looking for active date segments that cover the void date segments.
In this case void date segments has two date ranges 01JUN2015 to 31MAY2016 and 01MAR2016 to 31MAY2016 and they both are covered by the continuous active segments for this particular MEM_ID. I'm unable to identify such scenarios in my main data set because the date segments are divided and I've failed to create a logic to identify such MEM_ID's. There are many such cases in my main data set. Could you please help me with the code.
My desired output should be:
MEM_ID VOID_BGN VOID_END ACT_BGN ACT_END
H 01JUN2015 31MAY2016 01JUN2015 31MAY2016
H 01MAR2016 31MAY2016 01MAR2016 31MAY2016
Thank you for your help.
Here's a solved question from searching for 'continuous enrollment' that's pretty much exactly what you want.
Ah, I see you posted this three times. My answer hasn't changed:
data want (drop=_:); set have (rename=(act_bgn=_act_bgn)); format ACT_BGN date9.; retain ACT_BGN; by MEM_ID; set have ( firstobs = 2 keep = act_bgn rename = (act_bgn = _Next_act_bgn) ) have ( obs = 1 drop = _all_ ); if first.MEM_ID then act_bgn=_act_bgn; if act_end+1 ne _Next_act_bgn then do; output; act_bgn=_Next_act_bgn; end; run;
Art, CEO, AnalystFinder.com
Sorry, it got posted twice by mistake and the third post was a simplified version. Thank you for your help.
@SASTad Pleae mark ALL posts answered now.
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