SAS logistic Programming Task Example                     1
                                                      15:23 Friday, May 10, 1996

                             The LOGISTIC Procedure

     Data Set: WORK.PROGDAT 
     Response Variable: SUCCESS   
     Response Levels: 2
     Number of Observations: 25
     Link Function: Logit


                                Response Profile
 
                           Ordered
                             Value  SUCCESS     Count

                                 1        1        11
                                 2        0        14



                       Criteria for Assessing Model Fit
 
                               Intercept
                 Intercept        and   
   Criterion       Only       Covariates    Chi-Square for Covariates

   AIC              36.296        29.425         .                          
   SC               37.515        31.862         .                          
   -2 LOG L         34.296        25.425        8.872 with 1 DF (p=0.0029)  
   Score              .             .           7.974 with 1 DF (p=0.0047)  


                    Analysis of Maximum Likelihood Estimates
 
               Parameter Standard    Wald       Pr >    Standardized     Odds
   Variable DF  Estimate   Error  Chi-Square Chi-Square   Estimate      Ratio

   INTERCPT 1    -3.0597   1.2594     5.9029     0.0151            .    0.047
   EXPER    1     0.1615   0.0650     6.1760     0.0129     0.807986    1.175


         Association of Predicted Probabilities and Observed Responses

                   Concordant = 82.5%          Somers' D = 0.662
                   Discordant = 16.2%          Gamma     = 0.671
                   Tied       =  1.3%          Tau-a     = 0.340
                   (154 pairs)                 c         = 0.831
                     SAS logistic Programming Task Example                     2
                                                      15:23 Friday, May 10, 1996

      OBS    EXPER    SUCCESS    _LEVEL_      PHAT       LOW         UP

        1      14        0          1       0.31026    0.13279    0.56923
        2      29        0          1       0.83526    0.47767    0.96565
        3       6        0          1       0.11000    0.02024    0.42512
        4      25        1          1       0.72660    0.41475    0.90882
        5      18        1          1       0.46184    0.24746    0.69132
        6       4        0          1       0.08213    0.01186    0.40009
        7      18        0          1       0.46184    0.24746    0.69132
        8      12        0          1       0.24567    0.08811    0.52328
        9      22        1          1       0.62081    0.35398    0.83028
       10       6        0          1       0.11000    0.02024    0.42512
       11      30        1          1       0.85630    0.49130    0.97352
       12      11        0          1       0.21698    0.07040    0.50345
       13      30        1          1       0.85630    0.49130    0.97352
       14       5        0          1       0.09515    0.01552    0.41228
       15      20        1          1       0.54240    0.30426    0.76263
       16      13        0          1       0.27680    0.10893    0.54511
       17       9        0          1       0.16710    0.04365    0.46863
       18      32        1          1       0.89166    0.51682    0.98446
       19      24        0          1       0.69338    0.39612    0.88631
       20      13        1          1       0.27680    0.10893    0.54511
       21      19        0          1       0.50213    0.27658    0.72682
       22       4        0          1       0.08213    0.01186    0.40009
       23      28        1          1       0.81182    0.46334    0.95567
       24      22        1          1       0.62081    0.35398    0.83028
       25       8        1          1       0.14582    0.03397    0.45315