|
|
|
||||
|
|
|||||
This example is taken from Levy and Lemeshow's Sampling of Populations.
page 350 cluster sampling with unequal probabilities: probability proportional to size
sampling
This example uses the hospslect
data set.
proc surveymeans data = hospslct n = 4672 sum mean; weight wstar; cluster drawing; var lifethrt dxdead; run;The SURVEYMEANS Procedure Data Summary Number of Clusters 5 Number of Observations 50 Sum of Weights 50056 Statistics Std Error Variable Mean of Mean Sum Std Dev ------------------------------------------------------------------------ LIFETHRT 0.120000 0.019989 6006.720000 1000.584155 DXDEAD 0.040000 0.024482 2002.240000 1225.460312 ------------------------------------------------------------------------
Page 353 cluster sampling with unequal probabilities: probability proportional to size sampling
data hspslct2; set hospslct; /*n is 50*/ /*N_i is admiss*/ /* X is 7087, the total number of life-threating conditions across all the hospitals*/ /*X_i is tl, the total number of life-threating conditions for each hospital*/ if hospno = 2 then tl = 785; if hospno = 5 then tl = 3404; if hospno = 9 then tl = 778; w2star = (admiss/50)*(7087/tl); run;proc surveymeans data = hspslct2 n = 4672 mean sum; weight w2star; cluster drawing; var lifethrt dxdead; run;The SURVEYMEANS Procedure Data Summary Number of Clusters 5 Number of Observations 50 Sum of Weights 51344.9973 Statistics Std Error Variable Mean of Mean Sum Std Dev ------------------------------------------------------------------------ LIFETHRT 0.121904 0.021404 6259.175814 1276.638273 DXDEAD 0.034287 0.022991 1760.471466 1078.465840 ------------------------------------------------------------------------
UCLA Researchers are invited to our Statistical Consulting Services
We recommend others to our list of Other Resources for Statistical Computing Help
These pages are Copyrighted (c) by UCLA Academic Technology Services