1 The SAS System                                                                                                    04:30 Friday, September 22, 2017

NOTE: Unable to open SASUSER.REGSTRY. WORK.REGSTRY will be opened instead.
NOTE: All registry changes will be lost at the end of the session.

WARNING: Unable to copy SASUSER registry to WORK registry. Because of this, you will not see registry customizations during this session.
NOTE: Unable to open SASUSER.PROFILE. WORK.PROFILE will be opened instead.
NOTE: All profile changes will be lost at the end of the session.
NOTE: Copyright (c) 2002-2012 by SAS Institute Inc., Cary, NC, USA. 
NOTE: SAS (r) Proprietary Software 9.4 (TS1M2) 
      Licensed to IMS INC/NIH NCI, Site 70086760.
NOTE: This session is executing on the Linux 2.6.32-696.10.2.el6.x86_64 (LIN X64) platform.



NOTE: Updated analytical products:
      
      SAS/STAT 13.2
      SAS/ETS 13.2
      SAS/OR 13.2
      SAS/IML 13.2

NOTE: Additional host information:

 Linux LIN X64 2.6.32-696.10.2.el6.x86_64 #1 SMP Tue Sep 12 14:33:29 UTC 2017 x86_64 CentOS release 6.9 (Final) 


Please contact Rusty Shields or Jason Ashby of IMS, Inc. with questions.

shieldsr@imsweb.com
ashbyj@imsweb.com
301-680-9770



NOTE: SAS initialization used:
      real time           0.08 seconds
      cpu time            0.02 seconds
      
1          /*****************************************************************************/
2          /*****************************************************************************/
3          /* The following files are required to run this example:                     */
4          /*   diethealthout0-diethealthout200 (parameter estimates from the logistic  */
5          /*     regression model fit for the original data and for each of the        */
6          /*     replicates)                                                           */
7          /*****************************************************************************/
8          /*                                                                           */
9          /*****************************************************************************/
10         /* This example analysis uses regression calibration and fits a logistic     */
11         /* regression model to assess the relationship between a dietary component   */
12         /* and a health outcome.  For this analysis, the example data were simulated */
13         /* to include data from 100,000 participants, and the food frequency         */
14         /* questionnaire (FFQ) is the main dietary instrument.  The dietary          */
15         /* component is red meat, and the health outcome is a binary event variable. */
16         /* The simulated data include a calibration substudy of 1,000 participants   */
17         /* with repeated intake measurements from 24-hour dietary recalls.           */
18         /*                                                                           */
19         /* This analysis uses bootstrap variance estimation, so the univariate       */
20         /* measurement error model and logistic model are fit using the original     */
21         /* data set and 200 replicate data sets.  This step of the example uses      */
22         /* parameter estimates calculated from the previous step and performs        */
23         /* bootstrap variance estimation of the standard errors.                     */
24         /*****************************************************************************/
25         
2 The SAS System                                                                                                    04:30 Friday, September 22, 2017

26         
27         
28         title1 "Fit Univariate Measurement Error Model Using MLE with FFQ as Main Instrument";
29         title2 "Predict Intake and Perform Regression Calibration";
30         title3 "Assess Relationship between a Dietary Component and a Health Outcome";
31         
32         
33         
34         ***********************************************************************;
35         *** The path must be modified in the following lines to specify the ***;
36         *** location of the SAS macros, the SAS data files, and the SAS     ***;
37         *** library that will be used for output                            ***;
38         ***********************************************************************;
39         
40         %let home = /prj/dcp/statprog/meas.err/develop.public.resources.stat.meth;
41         
42         *** Output data library ***;
43         libname outlib "&home/univar_epidemiology_example5_mle_mainffq/outlib";
NOTE: Libref OUTLIB was successfully assigned as follows: 
      Engine:        V9 
      Physical Name: /prj/dcp/statprog/meas.err/develop.public.resources.stat.meth/univar_epidemiology_example5_mle_mainffq/outlib
44         
45         
46         
47         **************************************************************************;
48         *** Import the data sets of parameter estimates from the 200 replicate ***;
49         *** analyses performed for bootstrap variance estimation               ***;
50         **************************************************************************;
51         
52         data diethealthout_1to200;
53           set outlib.diethealthout1 - outlib.diethealthout200;
54         run;

NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT1.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT2.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT3.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT4.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT5.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT6.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT7.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT8.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT9.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT10.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT11.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT12.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT13.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT14.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT15.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT16.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT17.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT18.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT19.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT20.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT21.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT22.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT23.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT24.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT25.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT26.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT27.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT28.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT29.
3 The SAS System                                                                                                    04:30 Friday, September 22, 2017

NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT30.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT31.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT32.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT33.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT34.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT35.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT36.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT37.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT38.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT39.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT40.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT41.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT42.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT43.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT44.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT45.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT46.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT47.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT48.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT49.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT50.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT51.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT52.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT53.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT54.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT55.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT56.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT57.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT58.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT59.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT60.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT61.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT62.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT63.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT64.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT65.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT66.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT67.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT68.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT69.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT70.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT71.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT72.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT73.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT74.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT75.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT76.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT77.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT78.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT79.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT80.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT81.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT82.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT83.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT84.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT85.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT86.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT87.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT88.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT89.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT90.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT91.
4 The SAS System                                                                                                    04:30 Friday, September 22, 2017

NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT92.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT93.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT94.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT95.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT96.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT97.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT98.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT99.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT100.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT101.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT102.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT103.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT104.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT105.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT106.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT107.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT108.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT109.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT110.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT111.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT112.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT113.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT114.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT115.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT116.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT117.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT118.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT119.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT120.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT121.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT122.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT123.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT124.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT125.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT126.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT127.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT128.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT129.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT130.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT131.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT132.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT133.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT134.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT135.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT136.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT137.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT138.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT139.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT140.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT141.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT142.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT143.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT144.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT145.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT146.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT147.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT148.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT149.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT150.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT151.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT152.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT153.
5 The SAS System                                                                                                    04:30 Friday, September 22, 2017

NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT154.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT155.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT156.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT157.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT158.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT159.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT160.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT161.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT162.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT163.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT164.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT165.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT166.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT167.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT168.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT169.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT170.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT171.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT172.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT173.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT174.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT175.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT176.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT177.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT178.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT179.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT180.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT181.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT182.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT183.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT184.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT185.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT186.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT187.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT188.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT189.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT190.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT191.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT192.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT193.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT194.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT195.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT196.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT197.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT198.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT199.
NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT200.
NOTE: The data set WORK.DIETHEALTHOUT_1TO200 has 200 observations and 14 variables.
NOTE: DATA statement used (Total process time):
      real time           5.01 seconds
      cpu time            0.11 seconds
      

55         
56         
57         
58         ************************************************************************************************;
59         *** Calculate the standard deviations of the parameter estimates from the replicate analyses ***;
60         ************************************************************************************************;
61         
62         proc means data=diethealthout_1to200 noprint;
63           var intercept rc_or_redmeat_unit_iqr rc_or_std_entry_age_unit_iqr rc_or_std_log_bmi_unit_iqr;
6 The SAS System                                                                                                    04:30 Friday, September 22, 2017

64           output out=bootstrap_data_std std=intercept rc_or_redmeat_unit_iqr rc_or_std_entry_age_unit_iqr rc_or_std_log_bmi_unit_iqr;
65         run;

NOTE: There were 200 observations read from the data set WORK.DIETHEALTHOUT_1TO200.
NOTE: The data set WORK.BOOTSTRAP_DATA_STD has 1 observations and 6 variables.
NOTE: PROCEDURE MEANS used (Total process time):
      real time           0.00 seconds
      cpu time            0.00 seconds
      

66         
67         
68         
69         **************************************************************************************;
70         *** Create a data set with parameter estimates from the original data and standard ***;
71         *** deviations of the parameter estimates from the replicate analyses              ***;
72         **************************************************************************************;
73         
74         data diethealthout_0to200(keep = intercept rc_or_redmeat_unit_iqr rc_or_std_entry_age_unit_iqr rc_or_std_log_bmi_unit_iqr);
75           set outlib.diethealthout0 bootstrap_data_std;
76         run;

NOTE: There were 1 observations read from the data set OUTLIB.DIETHEALTHOUT0.
NOTE: There were 1 observations read from the data set WORK.BOOTSTRAP_DATA_STD.
NOTE: The data set WORK.DIETHEALTHOUT_0TO200 has 2 observations and 4 variables.
NOTE: DATA statement used (Total process time):
      real time           0.00 seconds
      cpu time            0.00 seconds
      

77         
78         proc transpose data=diethealthout_0to200 out=diethealthout_transpose(rename = (col1=estimate col2=boot_se));
79         run;

NOTE: There were 2 observations read from the data set WORK.DIETHEALTHOUT_0TO200.
NOTE: The data set WORK.DIETHEALTHOUT_TRANSPOSE has 4 observations and 4 variables.
NOTE: PROCEDURE TRANSPOSE used (Total process time):
      real time           0.00 seconds
      cpu time            0.00 seconds
      

80         
81         
82         
83         ***********************************************************************************************;
84         *** Print the summarized results of the health outcome model adjusted for measurement error ***;
85         ***********************************************************************************************;
86         
87         proc print data=diethealthout_transpose(drop = _label_) noobs;
88           title4 "Summary of Parameter Estimates and Bootstrap Variance Estimation of Standard Errors";
89           format estimate boot_se 8.3;
90         run;

NOTE: There were 4 observations read from the data set WORK.DIETHEALTHOUT_TRANSPOSE.
NOTE: The PROCEDURE PRINT printed page 1.
NOTE: PROCEDURE PRINT used (Total process time):
      real time           0.02 seconds
      cpu time            0.02 seconds
      

NOTE: SAS Institute Inc., SAS Campus Drive, Cary, NC USA 27513-2414
NOTE: The SAS System used:
7 The SAS System                                                                                                    04:30 Friday, September 22, 2017

      real time           5.18 seconds
      cpu time            0.17 seconds
      
