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SUDAAN FAQ 
How can I suppress the printing of the date and/or time on my output?

To suppress the printing of the time and/or date at the top of your results, you can use the notime and/or nodate option on the print statement in all of the analysis procedures.  As an example, we show using the print statement in proc descript.
proc descript data=temp1 filetype=sas design = jackknife;  
weight rakedw0;  
jackwgts rakedw1--rakedw80 / adjjack=1;  
var ab1;  
catlevel 1;   
setenv colwidth=12; 
print / notime nodate; 
run;
Variance Estimation Method: Replicate Weight Jackknife
by: Variable, One.

-----------------------------------------------------
|                 |                  |
| Variable        |                  | One
|                 |                  | 1            |
-----------------------------------------------------
|                 |                  |              |
| AB1: EXCELLENT  | Sample Size      |        55383 |
|                 | Weighted Size    |  23829382.24 |
|                 | Total            |   4639091.67 |
|                 | Percent          |        19.47 |
|                 | SE Percent       |         0.23 |
-----------------------------------------------------
proc regress data=temp1 filetype=sas design = jackknife;  
weight rakedw0;  
jackwgts rakedw1--rakedw80 / adjjack=1;
model ab23 = srsex racehpra;
subgroup srsex racehpra;
levels 2 4;
print / notime nodate; 
run;
Number of observations read       :  55428    Weighted count: 23847415
Observations used in the analysis :   1000    Weighted count:   466228
Denominator degrees of freedom    :     80

Maximum number of estimable parameters for the model is  5
Weighted mean response is 42.854796

Multiple R-Square for the dependent variable AB23: 0.078152
Variance Estimation Method: Replicate Weight Jackknife
Working Correlations: Independent
Link Function: Identity
Response variable AB23: AB23

----------------------------------------------------------------------
Independent                                                   P-value
  Variables and        Beta                                   T-Test
  Effects              Coeff.          SE Beta   T-Test B=0   B=0
----------------------------------------------------------------------
Intercept                   46.56         1.37        34.04     0.0000
SRSEX
  MALE                       4.10         1.30         3.16     0.0022
  FEMALE                     0.00         0.00          .        .
RACEHPRA
  LATINO                    -7.87         1.42        -5.55     0.0000
  PACIFIC ISLANDER           0.31         2.55         0.12     0.9042
  AIAN                      -3.67         2.18        -1.68     0.0964
  ASIAN                      0.00         0.00          .        .
----------------------------------------------------------------------
-------------------------------------------------------

Contrast               Degrees
                       of                      P-value
                       Freedom        Wald F   Wald F
-------------------------------------------------------
OVERALL MODEL                 5      1333.07     0.0000
MODEL MINUS
  INTERCEPT                   4        13.90     0.0000
INTERCEPT                     .          .        .
SRSEX                         1         9.97     0.0022
RACEHPRA                      3        11.15     0.0000
-------------------------------------------------------

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