Getting Started Example for PROC MI
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: MIGS */
/* TITLE: Getting Started Example for PROC MI */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: multiple imputation */
/* PROCS: MI */
/* DATA: */
/* */
/* SUPPORT: Yang Yuan UPDATE: Aug 21, 2007 */
/* REF: PROC MI, GETTING STARTED EXAMPLE */
/* MISC: */
/****************************************************************/
*---------------------Data on Physical Fitness-------------------------*
| These measurements were made on men involved in a physical fitness |
| course at N.C. State University. Certain values have been set to |
| missing and the resulting data set has an arbitrary missing pattern. |
| Only selected variables of |
| Oxygen (intake rate, ml per kg body weight per minute), |
| Runtime (time to run 1.5 miles in minutes), |
| RunPulse (heart rate while running) are used. |
*----------------------------------------------------------------------*;
data Fitness1;
input Oxygen RunTime RunPulse @@;
datalines;
44.609 11.37 178 45.313 10.07 185
54.297 8.65 156 59.571 . .
49.874 9.22 . 44.811 11.63 176
. 11.95 176 . 10.85 .
39.442 13.08 174 60.055 8.63 170
50.541 . . 37.388 14.03 186
44.754 11.12 176 47.273 . .
51.855 10.33 166 49.156 8.95 180
40.836 10.95 168 46.672 10.00 .
46.774 10.25 . 50.388 10.08 168
39.407 12.63 174 46.080 11.17 156
45.441 9.63 164 . 8.92 .
45.118 11.08 . 39.203 12.88 168
45.790 10.47 186 50.545 9.93 148
48.673 9.40 186 47.920 11.50 170
47.467 10.50 170
;
proc mi data=Fitness1 seed=501213 mu0=50 10 180 out=outmi;
mcmc;
var Oxygen RunTime RunPulse;
run;
proc print data=outmi (obs=10);
title 'First 10 Observations of the Imputed Data Set';
run;