BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
zhuxiaoyan1
Quartz | Level 8

I have this program:

 

 

proc reg data=TRNSTRANSPOSEDQUERY_FOR_TRNSTRAN;
model LOG_ALLWD = ABDOM_HERNIA ADV_DIABETES CHF_CARDIOMYO_VALVDIS CHRON_RENAL_FAIL DEP_BIPOLAR_PARA DIAG_W_ADD DVT_PE GASTRDUO_ULCER GAST_DUODENITIS GI_BLEED HEP_CIRR_OTR_LIVER IBS INTEST_OBSTR MILD_SLEEP_APNEA NUTR_OTR_ANEMIA RESP_FAILURE RHEU_ARTH SCREEN_W_ADD SHOCK_SYNC STROKE_PARAL TOBACCO
/ SELECTION=BACKWARD
SLS=0.15
ALPHA=0.1 ;
title "Backward Selection Model";
run; quit;

 

and got this report: I want to save this report to a sas data set in the same format. I used the option outset=estimate and did not get what I want. Do you have a way to do this? Thanks!

Variable Parameter
Estimate Standard
Error Type II SS F Value Pr > F
Intercept 7.05997 0.00517 151738 1863176 <.0001
ABDOM_HERNIA 0.11768 0.04140 0.65785 8.08 0.0045
ADV_DIABETES 0.03687 0.01479 0.50618 6.22 0.0127
CHF_CARDIOMYO_VALVDIS 0.09931 0.02582 1.20509 14.80 0.0001
CHRON_RENAL_FAIL 0.11154 0.04609 0.47694 5.86 0.0155
DEP_BIPOLAR_PARA 0.09403 0.02506 1.14656 14.08 0.0002
DIAG_W_ADD 0.30107 0.00906 89.88892 1103.74 <.0001
DVT_PE 0.05880 0.03807 0.19423 2.38 0.1225
GASTRDUO_ULCER 0.04103 0.03024 0.14988 1.84 0.1750
GAST_DUODENITIS 0.26914 0.01104 48.38799 594.15 <.0001
GI_BLEED 0.08496 0.01131 4.59823 56.46 <.0001
HEP_CIRR_OTR_LIVER 0.14005 0.02110 3.58960 44.08 <.0001
IBS 0.11712 0.01032 10.49936 128.92 <.0001
INTEST_OBSTR 0.08401 0.01877 1.63125 20.03 <.0001
MILD_SLEEP_APNEA 0.04275 0.01265 0.92967 11.42 0.0007
NUTR_OTR_ANEMIA 0.14219 0.01517 7.15148 87.81 <.0001
RESP_FAILURE 0.14960 0.02995 2.03182 24.95 <.0001
RHEU_ARTH 0.02965 0.01502 0.31725 3.90 0.0485
SCREEN_W_ADD 0.24392 0.00721 93.13549 1143.60 <.0001
SHOCK_SYNC 0.20405 0.04136 1.98179 24.33 <.0001
STROKE_PARAL 0.07213 0.04339 0.22507 2.76 0.0965
TOBACCO 0.10960 0.01568 3.97830 48.85 <.0001
1 ACCEPTED SOLUTION

Accepted Solutions
Reeza
Super User

Have you tried the ODS table instead?

 

See instructions here on how to find the name and save it. My guess is it would be called ParameterEstimates.

 

http://blogs.sas.com/content/iml/2017/01/09/ods-output-any-statistic.html

View solution in original post

1 REPLY 1
Reeza
Super User

Have you tried the ODS table instead?

 

See instructions here on how to find the name and save it. My guess is it would be called ParameterEstimates.

 

http://blogs.sas.com/content/iml/2017/01/09/ods-output-any-statistic.html

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 1 reply
  • 809 views
  • 1 like
  • 2 in conversation