研究生课件---SAS第五讲 分类变量资料的统计方法.ppt

* * 程序 data RR2; do sex=1 to 2; /* 1为男，2为女 */ do drug=1 to 2; /* 1为使用，2为未使用 */ do case=1 to 2; /*1为发病，2为未发病 */ input f @@; output; end; end; end; cards; 5 33 36 645 10 19 58 518 ; proc freq; weight f; tables sex*drug *case /cmh measures nopct norow nocol; run; * * TABLE 1 OF DRUG BY CASE CONTROLLING FOR SEX=1 DRUG CASE Frequency| 1| 2| Total ---------+--------+--------+ 1 | 5 | 33 | 38 ---------+--------+--------+ 2 | 36 | 645 | 681 ---------+--------+--------+ Total 41 678 719 Estimates of the Relative Risk (Row1/Row2) 95% Type of Study Value Confidence Bounds ---------------------------------------------------- Case-Control 2.7116 1.0000 7.3694 Cohort (Col1 Risk) 2.4890 1.0360 5.9799 Cohort (Col2 Risk) 0.9169 0.8091 1.0390 Sample Size = 719 * * TABLE 2 OF DRUG BY CASE CONTROLLING FOR SEX=2 DRUG CASE Frequency| 1| 2| Total ---------+--------+--------+ 1 | 10 | 19 | 29 ---------+--------+--------+ 2 | 58 | 518 | 576 ---------+--------+--------+ Total 68 537 605 Estimates of the Relative Risk (Row1/Row2) 95% Type of Study Value Confidence Bounds ------------------------------------------------------- Case-Control 4.7005 2.0861 10.5917 Cohort (Col1 Risk) 3.4245 1.9602 5.9826 Cohort (Col2 Risk) 0.7285 0.5587 0.9500 Sample Size = 605 * *