Analysis of Means for Rate Data
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: ANOMU */
/* TITLE: Analysis of Means for Rate Data */
/* PRODUCT: QC */
/* SYSTEM: ALL */
/* KEYS: ANOM, Analysis of Means, */
/* PROCS: PRINT SHEWHART */
/* DATA: */
/* */
/* REF: P. R. Nelson (1982), "Exact Critical Points for the */
/* Analysis of Means", Communications in Statistics, */
/* A11, 699-709 */
/* */
/* Robert N. Rodriguez (1996), "Health Care */
/* Applications of Statistical Process Control: */
/* Examples Using the SAS System", Proceedings of the */
/* Twenty-First Annual SAS Users Group International */
/* Conference, 1381-1396 */
/* */
/* NOTES: This sample program uses the anomsig macro defined */
/* in the ANOMSIG sample program. The statements in */
/* that program must be submitted before this program. */
/* */
/****************************************************************/
options ls=64 nodate nonumber;
goptions htext= 2.8 pct htitle=4.0 pct
ftext='albany amt';
data msadmits;
length id $ 2;
input id count94 mms94 count95 mms95;
myrs94 = mms94/12000;
myrs95 = mms95/12000;
label id = 'Medical Group Id Number';
cards;
1A 1979 685566 1882 697204
1K 555 196229 600 224715
1B 402 159259 438 154720
1D 306 84241 318 82254
3M 163 63444 183 76450
3I 185 70216 220 73529
1N 134 37149 121 60169
3H 103 38326 105 52886
1Q 117 48546 124 52595
1E 171 46421 171 51229
3B 92 30620 88 34775
1C 114 33911 100 31959
1H 98 28544 112 28782
3C 60 23432 84 27478
1R 69 20505 69 26494
1T 12 18033 21 25096
1M 94 18494 130 24723
1O 61 23578 61 24526
3D 80 21573 66 22359
1J 42 18845 54 19101
3J 27 13843 30 16089
3G 36 12075 36 13851
3E 36 10744 26 10587
1G 20 8979 28 10351
1I 16 6417 25 6041
1L 13 4223 20 5138
1S 3 1461 7 2723
1F 10 2973 7 2424
1P 119 39912 2 2030
;
run;
title 'Medical/Surgical Admissions Data';
proc print noobs data=msadmits;
var id count95 myrs95;
run;
%anomsig( 0.01, 29 );
title 'Analysis of Medical/Surgical Admissions';
symbol v=none w=7;
proc shewhart data=msadmits;
uchart count95 * id /
subgroupn = myrs95
sigmas = &sigmult
cframe = blue
cneedles = yellow
climits = black
llimits = 1
cinfill = green
lcllabel = 'LDL'
ucllabel = 'UDL'
turnhlabels
nolegend
haxis=axis1;
axis1 value = ( h=2.2 pct ) ;
label count95 =
'Admits per 1000 Member Years';
run;
