Subsetting data

[toneill]

I have two variables; the second dependent upon the answer of the first. There are 5 variables (Q1) each with its own severity scale (Q2).

Q1. Do you have the symptom? y/n/don't know/refused (1/2/88/99)

--> If a participant answered Y(1) to Q1, they should go to Q2.

Q2. Severity: 1/2/3/4/88/99

I would like to make a data set with no inappropriate missing data (where 'missing'=./don't know/refused).

So far, I have been able to subset my data for Q1:

data newdata;

     set olddata;

     if cmiss (of var1 var2 var3 var4 var5) then delete;

run;

This worked well and the expected number of observations were removed. However, I am unsure of how to move forward. If I ask SAS to remove the missing observations from Q2, then all those that answered N(2) to Q1 (and therefore, have appropriately missing data in Q2) would be removed. I only want to remove those individuals who answered Y(1) to Q1 and subsequently have missing data for Q2 (Q2 is conditioned on Q1).

Any direction would be appreciated.

[stat_sas]

How about this

data want;

     set newdata;

     if q1=1 and q2 in (88,99) then delete;

run;