/**************************************************************************/
/* PROGRAM: Example SUDAAN Analysis Programs.SAS */
/* */
/* PURPOSE: THIS PROGRAM PROVIDES EXAMPLE ANALYSIS CODE FOR PRODUCING */
/* ESTIMATES FROM THE 2023 NIS-TEEN PUF USING SAS-CALLABLE */
/* SUDAAN. THE PROGRAM IS DIVIDED INTO FIVE SECTIONS: */
/* */
/* EXAMPLE 1: PRODUCE ESTIMATION AREA ESTIMATES AND STANDARD ERRORS */
/* FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) */
/* */
/* EXAMPLE 2: PRODUCE STATE ESTIMATES AND STANDARD ERRORS */
/* FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) */
/* */
/* EXAMPLE 3: PRODUCE A TABLE OF HOUSEHOLD REPORT OF */
/* THE TEEN HAVING ASTHMA BY STATE FOR ALL HOUSEHOLD */
/* COMPLETES USING RDDWT_C */
/* */
/* EXAMPLE 4: PRODUCE A TABLE OF P_UTDTD BY INCPOV1 BY RACE_K */
/* */
/* EXAMPLE 5: PRODUCE A BAR CHART OF P_UTDTD BY INCPOV1 BY RACE_K */
/* */
/* */
/* SUDAAN NOTES: */
/* 1. ALL VARIABLES USED MUST BE NUMERIC. */
/* 2. VARIABLES IN THE SUBGROUP STATEMENT MUST HAVE VALUES 1,2,..K */
/* WHERE K IS THE NUMBER OF LEVELS FOR EACH VARIABLE. */
/* 3. DATA MUST BE SORTED ACCORDING TO THE SAMPLE DESIGN VARIABLES */
/* (STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE */
/* NEST STATEMENT. */
/**************************************************************************/
options ps = 78 ls = 90 obs = max;
*--- ASSIGN SAS LIBRARIES AND FILE NAMES ---*;
libname dd 'c:\nisteenpuf23'; *--- SPECIFY PATH TO SAS DATASET ---*;
libname library 'c:\nisteenpuf23'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;
%let out = 'c:\nisteenpuf23'; *--- SPECIFY OUTPUT LOCATION ---*;
libname out &out.;
*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;
*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;
%let yy = 23; *--- Year of data collection ---*;
%let in_file = dd.nisteenpuf&yy.; *--- NAME OF SAS DATASET ---*;
%let ESTIAP = ESTIAPt&yy.; *--- ESTIMATION AREA VARIABLE TO USE ---*;
%let RDDWT = RDDWT_C; *--- Weight to use for household variables (RDDWT_C is the single-frame cellular phone weight excluding territories. Use RDDWT_C_TERR to include territories) ---*;
%let PROVWT = PROVWT_C; *--- Weight to use for provider variables (PROVWT_C is the single-frame cellular phone weight excluding territories. Use PROVWT_C_TERR to include territories) ---*;
%let STRAT = STRATUM; *--- STRATUM variable to use for variance estimation (use STRATUM for all estimation) ---*;
*--- DEFINE FORMATS USED FOR ANALYSIS ---*;
proc format;
value p_utdtdf
1 = '1+ Td/Tdap Up-To-Date'
2 = 'Not 1+ Td/Tdap Up-To-Date'
;
value ESTIAPf
. = "Missing"
0 = "U.S. Total"
1 = "CT"
2 = "MA"
4 = "ME"
5 = "NH"
6 = "RI"
7 = "VT"
8 = "NJ"
10 = "NY-Rest of STATE"
11 = "NY-City of New York"
12 = "DC"
13 = "DE"
14 = "MD"
16 = "PA-Rest of STATE"
17 = "PA-Philadelphia County"
18 = "VA"
19 = "WV"
20 = "AL"
22 = "FL"
25 = "GA"
27 = "KY"
28 = "MS"
29 = "NC"
30 = "SC"
31 = "TN"
34 = "IL-Rest of STATE"
35 = "IL-City of Chicago"
36 = "IN"
38 = "MI"
40 = "MN"
41 = "OH"
44 = "WI"
46 = "AR"
47 = "LA"
49 = "NM"
50 = "OK"
51 = "TX-Rest of STATE"
54 = "TX-City of Houston"
55 = "TX-Bexar County"
56 = "IA"
57 = "KS"
58 = "MO"
59 = "NE"
60 = "CO"
61 = "MT"
62 = "ND"
63 = "SD"
64 = "UT"
65 = "WY"
66 = "AZ"
68 = "CA"
72 = "HI"
73 = "NV"
74 = "AK"
75 = "ID"
76 = "OR"
77 = "WA"
106 = "Puerto Rico"
;
*Note: The STATE variable is based on STATE FIPS codes. There are no STATEs with fips codes 3,7,14,43,52,57-71,73-78;
value STATEf
0 = "U.S. Total"
1 = "Alabama"
2 = "Alaska"
4 = "Arizona"
5 = "Arkansas"
6 = "California"
8 = "Colorado"
9 = "Connecticut"
10 = "Delaware"
11 = "District of Columbia"
12 = "Florida"
13 = "Georgia"
15 = "Hawaii"
16 = "Idaho"
17 = "Illinois"
18 = "Indiana"
19 = "Iowa"
20 = "Kansas"
21 = "Kentucky"
22 = "Louisiana"
23 = "Maine"
24 = "Maryland"
25 = "Massachusetts"
26 = "Michigan"
27 = "Minnesota"
28 = "Mississippi"
29 = "Missouri"
30 = "Montana"
31 = "Nebraska"
32 = "Nevada"
33 = "New Hampshire"
34 = "New Jersey"
35 = "New Mexico"
36 = "New York"
37 = "North Carolina"
38 = "North Dakota"
39 = "Ohio"
40 = "Oklahoma"
41 = "Oregon"
42 = "Pennsylvania"
44 = "Rhode Island"
45 = "South Carolina"
46 = "South Dakota"
47 = "Tennessee"
48 = "Texas"
49 = "Utah"
50 = "Vermont"
51 = "Virginia"
53 = "Washington"
54 = "West Virginia"
55 = "Wisconsin"
56 = "Wyoming"
72 = "Puerto Rico"
;
value asthmaf
1 = 'Yes'
2 = 'No'
;
value incpvr2f
1 = "Above Poverty, > $75,000"
2 = "Above Poverty, < = $75,000"
3 = "Below Poverty"
4 = "Unknown"
;
value race_kf
1 = "White Only"
2 = "Black Only"
3 = "Other/Mult Race"
;
run;
data nisteenpuf;
set &in_file. (keep = SEQNUMT &ESTIAP. &RDDWT. &PROVWT. &STRAT. STATE PDAT2 P_UTDTD P_UTDMMR ASTHMA RACE_K INCPOV1);
if P_UTDTD = 0 then P_UTDTD = 2; *--- Convert P_UTDTD = 0 to P_UTDTD = 2 ---*;
NSEQNUMT = 1*SEQNUMT; *---Convert Teen ID SEQNUMT from character to numeric ---*;
format &ESTIAP. ESTIAPf.
STATE STATEf.
P_UTDTD p_utdtdf.
ASTHMA asthmaf.
INCPOV1 incpvr2f.
RACE_K race_kf.;
run;
**********************************************************************
EXAMPLE 1: PRODUCE ESTIMATION AREA ESTIMATES AND STANDARD
ERRORS FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD)
**********************************************************************;
proc sort data = nisteenpuf;by &STRAT. NSEQNUMT;run; *Sort by nest variables;
proc crosstab data = nisteenpuf filetype = sas design = wr;
weight &PROVWT.;
nest &STRAT. NSEQNUMT;
subgroup &ESTIAP. P_UTDTD;
levels 106 2;
tables &ESTIAP. * P_UTDTD;
print nsum wsum rowper serow / style = nchs;
rtitle "1+ Td/Tdap Estimates by Estimation Area";
rformat &ESTIAP. ESTIAPf.;
rformat P_UTDTD p_utdtdf.;
output rowper serow / filename = sud_est filetype = sas replace;
run;
proc print data = sud_est (where = (P_UTDTD = 1 and rowper ne .)) noobs label;
var &ESTIAP. rowper serow;
label rowper = 'Percent 1+ Td/Tdap Up-to-Date'
serow = 'Standard Error';
title "1+ TD/Tdap Estimates by Estimation Area";
run;
*************************************************************************
EXAMPLE 2: PRODUCE STATE ESTIMATES AND STANDARD ERRORS
FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD)
*************************************************************************;
proc sort data = nisteenpuf;by &STRAT. NSEQNUMT;run; *Sort by nest variables;
proc crosstab data = nisteenpuf filetype = sas design = wr;
weight &PROVWT.;
nest &STRAT. NSEQNUMT;
subgroup STATE P_UTDTD;
levels 72 2;
tables STATE * P_UTDTD;
print nsum wsum rowper serow / style = nchs;
rtitle "1+ Td/Tdap Estimates by STATE";
rformat STATE STATEf.;
rformat P_UTDTD p_utdtdf.;
output rowper serow / filename = sud_est2 filetype = sas replace;
run;
*** Exclude 3,7,14,43,52,57-71,73-78 since there are no states with these FIPS codes ***;
proc print data = sud_est2 (where = (P_UTDTD = 1 and rowper ne . and STATE notin (3,7,14,43,52) and not(57 <= STATE <= 71) and not(73 <= STATE <= 78))) label noobs;
format STATE STATEf.;
var STATE rowper serow;
label rowper = 'Percent 1+ Td/Tdap Up-to-Date'
serow = 'Standard Error';
title "1+ TD/Tdap Estimates by STATE";
run;
*************************************************************************
EXAMPLE 3: PRODUCE A TABLE OF HOUSEHOLD REPORT OF
THE TEEN HAVING ASTHMA BY STATE FOR ALL HOUSEHOLD COMPLETES USING RDDWT_C
*************************************************************************;
data asthma;
set nisteenpuf;
where ASTHMA in (1,2); *Keep only cases with non-missing values for ASTHMA*;
run;
proc sort data = asthma;by &STRAT. NSEQNUMT;run; *Sort by nest variables;
proc crosstab data = asthma filetype = sas design = wr;
weight &RDDWT.;
nest &STRAT. NSEQNUMT;
subgroup STATE ASTHMA;
levels 72 2;
tables STATE * ASTHMA;
print nsum wsum rowper serow / style = nchs;
rtitle "Asthma Estimates by STATE";
rtitle "Weighted by &RDDWT.";
rformat STATE STATEf.;
rformat ASTHMA asthmaf.;
output rowper serow / filename = sud_est3 filetype = sas replace;
run;
*** Exclude 3,7,14,43,52,57-71,73-78 since there are no states with these FIPS codes ***;
proc print data = sud_est3(where = (ASTHMA = 1 and rowper ne . and STATE not in (3,7,14,43,52) and not(57 <= STATE <= 71) and not(73 <= STATE <= 78))) label noobs;
format STATE STATEf.;
var STATE rowper serow;
label rowper = 'Percent ASTHMA = Yes'
serow = 'Standard Error';
title 'HH-Reported Asthma Estimates by STATE';
run;
*************************************************************************
EXAMPLE 4: PRODUCE A TABLE OF P_UTDTD BY INCPOV1 BY RACE_K
*************************************************************************;
proc sort data = nisteenpuf;by &STRAT. NSEQNUMT;run; *Sort by nest variables;
proc freq data = nisteenpuf;
where &PROVWT. ne .;
tables P_UTDTD INCPOV1 RACE_K;
title "Table 4A. Q1/20&yy. - Q4/20&yy.: Unweighted Frequencies";
run;
proc crosstab data = nisteenpuf filetype = sas design = wr;
weight &PROVWT.;
nest &STRAT. NSEQNUMT;
subgroup INCPOV1 RACE_K P_UTDTD;
levels 4 3 2;
tables (INCPOV1 * RACE_K * P_UTDTD);
print nsum wsum rowper = "1+ Td/Tdap Up-to-Date (rowper)"
serow = "Standard Error (serow)" / style = nchs;
rtitle "Table 4B. Q1/20&yy. - Q4/20&yy., Percent 1+ Td/Tdap Up-to-Date and Estimated Standard Errors";
rtitle "Weighted by &PROVWT.";
rformat P_UTDTD p_utdtdf.;
rformat INCPOV1 incpvr2f.;
rformat RACE_K race_kf.;
output rowper serow / filename=sud_est4 filetype=sas replace;
run;
*Save % UTD estimates (not S.E.'s) for use in Example 5;
data out.sud_est4;
set sud_est4 (where = (P_UTDTD = 1 and INCPOV1 > 0 and RACE_K > 0));
keep INCPOV1 RACE_K rowper serow;
label rowper = '1+ Td/Tdap Up-to-Date'
serow = 'Standard Error';
format rowper serow 5.2 RACE_K race_kf. INCPOV1 incpvr2f.;
run;
proc print data = out.sud_est4 label noobs;
title "Table 4B. Q1/20&yy. - Q4/20&yy.: 1+ TD/Tdap Estimates by INCPOV1 by RACE_K";
run;
*************************************************************************
EXAMPLE 5: PRODUCE A BAR CHART OF P_UTDTD BY INCPOV1 BY RACE_K
*************************************************************************;
data sud_est4;
set out.sud_est4;
label RACE_K = 'Race of Teen'
INCPOV1 = 'Poverty Status';
filename odsout &out.;
ods listing close;
*Set the graphics environment;
goptions reset = global gunit = pct border ftext = swissb htitle = 4 htext = 1.5 device = gif;
ods html body = 'graph_4_sud.html' path = odsout;
run;
title1 h = 12pt "Percentage of Teens Up-to-Date with 1+ Td/Tdap";
title2 h = 12pt "by Race and Poverty Status, National Immunization Survey - Teen, 20&yy.";
footnote j = r'graph_4sud';
proc sgplot data = sud_est4;
styleattrs datacolors = (wheat lightpink forestgreen) datacontrastcolors = (wheat lightpink forestgreen) datalinepatterns = (solid);
vbar INCPOV1 / response = rowper group = RACE_K groupdisplay = cluster stat = mean barwidth = 0.8;
xaxis display = (noticks);
yaxis grid;
keylegend / across = 1 position = top;
run;
ods html close;
ods listing;
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