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423-2013: Computing Direct and Indirect Standardized Rates ... - SAS

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<strong>SAS</strong> Global Forum <strong>2013</strong><br />

The METHOD=MH option requests the Mantel-Haenszel estimation, <strong>and</strong> the STAT=RISK option specifies<br />

the risk statistic for st<strong>and</strong>ardization. When you specify the EFFECT=DIFF option, PROC STDRATE uses the<br />

default risk difference statistics to compute the risk effect between the study populations.<br />

The POPULATION statement specifies the options that are related to the study populations. The EVENT=<br />

option specifies the variable for the number of cases, the TOTAL= option specifies the number of students,<br />

<strong>and</strong> the GROUP=SMOKING option specifies the variable Smoking, which identifies the smoking groups in<br />

the DATA= data set.<br />

The STRATA statement names the variables, Pet <strong>and</strong> Grade, that form the strata in the st<strong>and</strong>ardization. The<br />

ORDER=DATA option sorts the strata by order of their appearance in the input data set, <strong>and</strong> the EFFECT<br />

option displays the strata effects.<br />

The “St<strong>and</strong>ardization Information” table in Figure 6 displays the st<strong>and</strong>ardization information.<br />

Figure 6 St<strong>and</strong>ardization Information<br />

The STDRATE Procedure<br />

St<strong>and</strong>ardization Information<br />

Data Set WORK.SCHOOL<br />

Group Variable Smoking<br />

Method Mantel-Haenszel<br />

Statistic Risk<br />

Number of Strata 6<br />

With ODS Graphics enabled, PROC STDRATE displays the strata risk plot by default. The strata risk plot<br />

displays stratum-specific risk estimates <strong>and</strong> their confidence limits in the study populations, as shown in<br />

Figure 7. This plot displays stratum-specific risk estimates <strong>and</strong> the overall crude risks for the two study<br />

populations. By default, strata levels are displayed on the vertical axis.<br />

Figure 7 Strata Risk Plot<br />

8<br />

Statistics <strong>and</strong> Data Analysis

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