Create missing data table - columns for each variable with 1 or 0 for missing value per patient

[PharmlyDoc]

I have a table of PATIENTS with missing values, and the dummy variables for the drug columns (STATIN, BETA_BLOCKER, etc.) are coded as 0's and 1's where 0 = No  and 1 = Yes. 

I want a tabe where:

• Each patient would get a value of 0 (not missing) or 1 (missing) for each variable

• Create column for total number of missing variables per patient 

• Create column with a string of 0's and 1's showing the pattern of missing variables per patient 

data PATIENTS;
infile datalines dlm=',';
input PAT_ID AGE SEX $ RACE $ LDL STATIN BETA_BLOCKER ACEI DIURETIC STEROID;
datalines;
93704,.,F,Black,90,0,0,0,0,0
93705,26,F,White,120,1,1,1,0,0
93706,28,M,Black,.,0,0,0,0,0
93707,.,F,.,110,0,0,0,0,0
93708,47,M,.,103,0,0,0,0,0
93709,38,.,Black,94,1,0,0,1,1
93710,44,F,Black,102,0,0,0,0,0
93711,.,M,.,.,0,0,0,0,0
93712,24,F,White,.,0,0,0,0,0
93713,40,F,White,.,1,0,0,0,0
93714,40,.,Black,108,0,0,0,0,0
93715,25,M,Black,134,1,1,0,0,1
93716,23,M,White,132,0,0,0,1,0
93717,.,F,White,.,0,1,1,1,0
93718,41,F,.,105,0,0,1,0,0
;

The result would look like the table below:

(Notice that that since the drug columns in the PATIENTS table (STATIN, BETA_BLOCKER, etc.) are dummy variables they will all get 0's since they have a value.) 

PAT_ID	AGE	SEX	RACE	LDL	STATIN	BETA_BLOCKER	ACEI	DIURETIC	STEROID	NUMBER_MISSING	PATTERN_MISSING
93704	1	0	0	0	0	0	0	0	0	1	100000000
93705	0	0	0	0	0	0	0	0	0	0	000000000
93706	0	0	0	1	0	0	0	0	0	1	000100000
93707	1	0	1	0	0	0	0	0	0	2	101000000
93708	0	0	1	0	0	0	0	0	0	1	001000000
93709	0	1	0	0	0	0	0	0	0	1	010000000
93710	0	0	0	0	0	0	0	0	0	0	000000000
93711	1	0	1	1	0	0	0	0	0	3	101100000
93712	0	0	0	1	0	0	0	0	0	1	000100000
93713	0	0	0	1	0	0	0	0	0	1	000100000
93714	0	1	0	0	0	0	0	0	0	1	010000000
93715	0	0	0	0	0	0	0	0	0	0	000000000
93716	0	0	0	0	0	0	0	0	0	0	000000000
93717	1	0	0	1	0	0	0	0	0	2	100100000
93718	0	0	1	0	0	0	0	0	0	1	001000000

[tarheel13]

Data is not reading in correctly. Can you try posting it again? 

Also, the missing function already assigns 0 or 1. missing(var) gets assigned to 1 if it's missing and 0 if it's not missing. 

This is what your current datalines makes. It doesn't look like what you intended to me. 

[data_null__]

Add DSD option to the INFILE statement.  Also FIRSTOBS=2

[PharmlyDoc]

@tarheel13  I corrected the data so it now reads correctly. 

[tarheel13]

@ballardw already gave you a solution, which is the same as what I was suggesting: to use the missing function. 

[ballardw]

Since your Sex and Race variables are character they can't be numeric. You can make new variables if you want the indicator to be numeric.

Please test your data step before posting. Yours throws invalid data errors and does not read Age correctly when missing.

SAS will return 1 and 0 for True or False

data PATIENTS;
infile datalines dlm=',' dsd truncover;
input PAT_ID AGE SEX $ RACE $ LDL STATIN BETA_BLOCKER ACEI DIURETIC STEROID;
datalines;
93704,,F,Black,90,0,0,0,0,0
93705,26,F,White,120,1,1,1,0,0
93706,28,M,Black,,0,0,0,0,0
93707,,F,,110,0,0,0,0,0
93708,47,M,,103,0,0,0,0,0
93709,38,,Black,94,1,0,0,1,1
93710,44,F,Black,102,0,0,0,0,0
93711,,M,,,0,0,0,0,0
93712,24,F,White,,0,0,0,0,0
93713,40,F,White,,1,0,0,0,0
93714,40,,Black,108,0,0,0,0,0
93715,25,M,Black,134,1,1,0,0,1
93716,23,M,White,132,0,0,0,1,0
93717,,F,White,,0,1,1,1,0
93718,41,F,,105,0,0,1,0,0
;

data want;
   set patients;
   array c (*) sex race;
   array n (*) AGE  LDL STATIN BETA_BLOCKER ACEI DIURETIC STEROID;
   do i=1 to dim(c);
      c[i]= put(missing(c[i]),f1.);
   end;
   do i=1 to dim(n);
      n[i]= missing(n[i]);
   end;
   number_missing= sum(missing(sex),missing(race),    sum(of n(*)));
   pattern = cats(age,sex,race,LDL,STATIN, BETA_BLOCKER, ACEI, DIURETIC, STEROID);
   drop i;
run;

[Ksharp]

data PATIENTS;
infile datalines dlm=',' dsd;
input PAT_ID AGE SEX $ RACE $ LDL STATIN BETA_BLOCKER ACEI DIURETIC STEROID;
datalines;
93704,.,F,Black,90,0,0,0,0,0
93705,26,F,White,120,1,1,1,0,0
93706,28,M,Black,.,0,0,0,0,0
93707,.,F,.,110,0,0,0,0,0
93708,47,M,.,103,0,0,0,0,0
93709,38,.,Black,94,1,0,0,1,1
93710,44,F,Black,102,0,0,0,0,0
93711,.,M,.,.,0,0,0,0,0
93712,24,F,White,.,0,0,0,0,0
93713,40,F,White,.,1,0,0,0,0
93714,40,.,Black,108,0,0,0,0,0
93715,25,M,Black,134,1,1,0,0,1
93716,23,M,White,132,0,0,0,1,0
93717,.,F,White,.,0,1,1,1,0
93718,41,F,.,105,0,0,1,0,0
;

proc sql;
create table want as
select PAT_ID, 
missing(AGE) as age, 
missing(SEX) as sex,
missing(RACE) as race,
missing(LDL) as ldl,
missing(STATIN) as statin,
missing(BETA_BLOCKER) as beta_blocker,
missing(ACEI) as acei,
missing(DIURETIC) as diuretic,
missing(STEROID) as steroid,

sum(calculated age,
calculated  sex,
calculated  race,
calculated  ldl,
calculated  statin,
calculated  beta_blocker,
calculated  diuretic,
calculated  steroid
) as NUMBER_MISSING ,

cats(calculated age,
calculated  sex,
calculated  race,
calculated  ldl,
calculated  statin,
calculated  beta_blocker,
calculated  diuretic,
calculated  steroid
)as PATTERN_MISSING
 from patients;
quit;