population statement requires two values, the variable giving the number in the exposed group

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

1.     Label the Cumulative Incidence of stroke in patients with hypertension, cumulative incidence of stroke in patients without hypertension and the population attributable risk of stroke due to hypertension

Each statement is explained below. 

DATA stroke ;

   INPUT   hyper count_h not_hyper count_not;

   DATALINES ;

  18  252  46  998

 ;

As you know by now, the DATA statement names a dataset being created. I called this stroke since it’s pretty obvious.  The INPUT statement has four variables, the number with stroke who had hypertension, the total number with hypertension, the number not hypertensive who had a stroke, and the total population not hypertensive. DATALINES precedes the data, then we have the data itself and a semi-colon to mark the end of the data. Now let’s look at the STDRATE procedure.

 

PROC STDRATE DATA=stroke

            REFDATA =stroke

             METHOD=INDIRECT(AF)

             STAT=RISK

             ;

PROC STDRATE DATA = stroke begins the procedure and specifies stroke as the dataset for our study group, in this case, the people with hypertension. REFDATA = stroke specifies stroke as the dataset for our reference population, people without hypertension. The data for both groups happens to be in the same dataset but that is not always the case. From the SAS documentation:

“The AF suboption requests the attributable fraction that measures the excess event rate or risk fraction in the exposed population that is attributable to the exposure. This suboption also requests the population attributable fraction that measures the excess event rate or risk fraction in the total population that is attributable to the exposure.”

STAT = risk specifies that we want risk and not rate.  Notice that all of this is one statement.

   POPULATION EVENT=hyper  TOTAL =count_h;

The POPULATION statement requires two values, the variable giving the number in the exposed group who had the event and the variable giving the total number in the exposed group.

    REFERENCE EVENT = not_hyper TOTAL = count_not ;

 

The REFERENCE statement gives the reference group, usually, the people who were not exposed to the risk factor. This also requires two variables, the number who had the event and the total number in the non-exposed group.

Attachments:

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