Worksheet size: 40000000 cells
MTB > Set c1
DATA>   1( 1 : 25 / .5 )1
DATA>   End.
MTB >  let c2 = exp(1 + .1*c1)
MTB > describe c1-c2
Descriptive Statistics
Variable             N       Mean     Median     TrMean      StDev    SE Mean
C1                  49      13.00      13.00      13.00       7.14       1.02
C2                  49      12.66       9.97      12.21       8.64       1.23
Variable       Minimum    Maximum         Q1         Q3
C1                1.00      25.00       6.75      19.25
C2                3.00      33.12       5.34      18.64
======================
GMACRO
poissonregr

DO   K1 = 1 : 50
let k2 = c2(k1)
random 1 c10;
poisson k2.
let c11(k1) = c10
erase c10
erase k2

ENDDO
ENDMACRO
========================
MTB > %F:\drr99\ed257\web\exs\poissonregr.mac
Executing from file: F:\drr99\ed257\web\exs\poissonregr.mac
* ERROR * One or more arguments too large.
* Macro exiting...
MTB > print c11
Data Display  C11
      1      3      4      4      2      8      4      7      5      8
      5      5     10      4     10     10      7      8     12     13
      9      9      9      6     13     13      7     12     10     16
     18     18     12     12     18     11     21     22     15     23
     19     16     31     27     23     30     22     28     36
MTB > describe c11
Descriptive Statistics
Variable             N       Mean     Median     TrMean      StDev    SE Mean
C11                 49      12.98      11.00      12.58       8.33       1.19
Variable       Minimum    Maximum         Q1         Q3
C11               1.00      36.00       7.00      18.00

MTB > print c1 c2 c11
Data Display
 Row     C1        C2    C11
   1    1.0    3.0042      1
   2    1.5    3.1582      3
   3    2.0    3.3201      4
   4    2.5    3.4903      4
   5    3.0    3.6693      2
   6    3.5    3.8574      8
   7    4.0    4.0552      4
   8    4.5    4.2631      7
   9    5.0    4.4817      5
  10    5.5    4.7115      8
  11    6.0    4.9530      5
  12    6.5    5.2070      5
  13    7.0    5.4739     10
  14    7.5    5.7546      4
  15    8.0    6.0496     10
  16    8.5    6.3598     10
  17    9.0    6.6859      7
  18    9.5    7.0287      8
  19   10.0    7.3891     12
  20   10.5    7.7679     13
  21   11.0    8.1662      9
  22   11.5    8.5849      9
  23   12.0    9.0250      9
  24   12.5    9.4877      6
  25   13.0    9.9742     13
  26   13.5   10.4856     13
  27   14.0   11.0232      7
  28   14.5   11.5883     12
  29   15.0   12.1825     10
  30   15.5   12.8071     16
  31   16.0   13.4637     18
  32   16.5   14.1540     18
  33   17.0   14.8797     12
  34   17.5   15.6426     12
  35   18.0   16.4446     18
  36   18.5   17.2878     11
  37   19.0   18.1741     21
  38   19.5   19.1060     22
  39   20.0   20.0855     15
  40   20.5   21.1153     23
  41   21.0   22.1980     19
  42   21.5   23.3361     16
  43   22.0   24.5325     31
  44   22.5   25.7903     27
  45   23.0   27.1126     23
  46   23.5   28.5027     30
  47   24.0   29.9641     22
  48   24.5   31.5004     28
  49   25.0   33.1155     36


options linesize = 80 pagesize=80;
 
data  poisdat;
  infile 'F:\drr99\ed257\web\exs\poissonregr.dat';
  input pred mean outcom;
run;
 
proc genmod data=poisdat;
  model outcom = pred / dist = poi link = log;
  title 'SAS poisson regression artificial data';

run;


                     SAS poisson regression artificial data                    1
                                 11:27 Monday, May 17, 1999


                              The GENMOD Procedure

                               Model Information

                  Description                     Value

                  Data Set                        WORK.POISDAT
                  Distribution                    POISSON
                  Link Function                   LOG
                  Dependent Variable              OUTCOM
                  Observations Used               49


                     Criteria For Assessing Goodness Of Fit

              Criterion             DF         Value      Value/DF

              Deviance              47       40.2547        0.8565
              Scaled Deviance       47       40.2547        0.8565
              Pearson Chi-Square    47       38.9313        0.8283
              Scaled Pearson X2     47       38.9313        0.8283
              Log Likelihood         .     1098.8393             .


                        Analysis Of Parameter Estimates

          Parameter    DF    Estimate     Std Err   ChiSquare  Pr>Chi

          INTERCEPT     1      1.2775      0.1128    128.3121  0.0001
          PRED          1      0.0854      0.0062    188.6911  0.0001
          SCALE         0      1.0000      0.0000           .       .

NOTE:  The scale parameter was held fixed.