07-29-2019
lkm
Fluorite | Level 6
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07-23-2019
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Latest posts by lkm
Subject Views Posted 1756 07-23-2019 01:26 PM 1771 07-23-2019 01:00 PM 1776 07-23-2019 12:55 PM 1784 07-23-2019 12:37 PM 1811 07-23-2019 08:35 AM -
Activity Feed for lkm
- Liked Re: proc stdrate & failure to display all strata in plot for Reeza. 07-29-2019 08:02 AM
- Posted Re: proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 01:26 PM
- Posted Re: proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 01:00 PM
- Posted Re: proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 12:55 PM
- Posted Re: proc stdrate & failure to display all strata in plot **log** thank you! on ODS and Base Reporting. 07-23-2019 12:37 PM
- Posted proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 08:35 AM
- Tagged proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 08:35 AM
- Tagged proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 08:35 AM
- Tagged proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 08:35 AM
- Tagged proc stdrate & failure to display all strata in plot on ODS and Base Reporting. 07-23-2019 08:35 AM
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Posts I Liked
Subject Likes Author Latest Post 1
07-23-2019
12:55 PM
Hi Reeza: Thank you for your response. Essentially I am trying to run a multivariable direct standardization. The strata are maternal race/ethnicity * maternal age group: ex. White <20year Black <20year Hispanic <20year White 20to24year Black 20to24year Hispanic 20to24year White 25to29year Black 25to29year Hispanic 25to29year etc Thank you for your time and insights!
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07-23-2019
12:37 PM
NOTE: SAS (r) Proprietary Software 9.4 (TS1M3) Licensed to TX DEPARTMENT OF STATE HEALTH SERVICES, Site 70206481. NOTE: This session is executing on the X64_8PRO platform. NOTE: Updated analytical products: SAS/STAT 14.1 SAS/ETS 14.1 SAS/OR 14.1 SAS/IML 14.1 SAS/QC 14.1 NOTE: Additional host information: X64_8PRO WIN 6.2.9200 Workstation NOTE: SAS initialization used: real time 1.56 seconds cpu time 1.14 seconds 1 ** NAME: DirectStandardCombo.SAS; 2 ** PURPOSE: DIRECT STANDARDIZATION FOR COUNTY CLUSTER**; 3 4 5 title1 "County Cluster Concern "; 6 title2 "Direct Standardization (County2= Referent Population) for Defect: 6 ! Adjusted by Maternal Age & Race/Ethnicity"; 7 8 ************************************; 9 ** CREATE DATA FOR STANDARDIZATION **; 10 ************************************; 11 12 **** INPUT COUNTY1 (AREA OF CLUSTER CONCERN) DATA *****; 13 data County1; 14 County='County1'; 15 input Mom_RaceEthnic $ Mom_Age $ Cases 11. LiveBirths 11.; 16 datalines; NOTE: The data set WORK.COUNTY1 has 24 observations and 5 variables. NOTE: DATA statement used (Total process time): real time 0.04 seconds cpu time 0.04 seconds 41 ; 42 43 title3 'Area of Geographic Clustering Concern: County1'; 44 proc print data=County1; NOTE: Writing HTML Body file: sashtml.htm 45 run; NOTE: There were 24 observations read from the data set WORK.COUNTY1. NOTE: PROCEDURE PRINT used (Total process time): real time 0.89 seconds cpu time 0.37 seconds 46 47 48 **** INPUT COUNTY2 (REFERENT/STANDARD POPULATION) DATA *****; 49 data County2_REF; 50 County='County2'; 51 input Mom_RaceEthnic $ Mom_Age $ Cases 11. LiveBirths 11.; 52 datalines; NOTE: The data set WORK.COUNTY2_REF has 24 observations and 5 variables. NOTE: DATA statement used (Total process time): real time 0.03 seconds cpu time 0.01 seconds 77 ; 78 79 title3 'Standardized/Referent Population: County2'; 80 proc print data=County2_REF; 81 run; NOTE: There were 24 observations read from the data set WORK.COUNTY2_REF. NOTE: PROCEDURE PRINT used (Total process time): real time 0.06 seconds cpu time 0.03 seconds 82 title3; 83 84 ************************************; 85 ** SORT DATA TO RUN ANALYSIS **; 86 ************************************; 87 88 proc sort data=County1; 89 by Mom_RaceEthnic Mom_Age ; 90 run; NOTE: There were 24 observations read from the data set WORK.COUNTY1. NOTE: The data set WORK.COUNTY1 has 24 observations and 5 variables. NOTE: PROCEDURE SORT used (Total process time): real time 0.03 seconds cpu time 0.01 seconds 91 92 proc sort data=County2_REF; 93 by Mom_RaceEthnic Mom_Age ; 94 run; NOTE: There were 24 observations read from the data set WORK.COUNTY2_REF. NOTE: The data set WORK.COUNTY2_REF has 24 observations and 5 variables. NOTE: PROCEDURE SORT used (Total process time): real time 0.03 seconds cpu time 0.01 seconds 95 96 ************************************; 97 ** RUN DIRECT STANDARDIZATION **; 98 ************************************; 99 100 ods graphics on ; 101 PROC STDRATE data=County1 REFDATA=County2_REF 102 METHOD=direct 103 STAT=rate(mult=10000) 104 EFFECT=ratio 105 ; 106 population group = County event = Cases total= LiveBirths; 107 reference total=LiveBirths; 108 STRATA Mom_RaceEthnic Mom_Age/effect; 109 run; NOTE: With only one group in the DATA= data set, the GROUP= option in the POPULATION statement is not used. NOTE: PROCEDURE STDRATE used (Total process time): real time 1.26 seconds cpu time 0.31 seconds 110 ods graphics off; 111 112 113 **************************************************; 114 **************************************************; 115 ** END DIRECT STANDARDIZATION **; 116 **************************************************; 117 **************************************************;
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07-23-2019
08:35 AM
Good morning: I am trying to use direct standardization to adjust a target (area of cluster concern) to that of a referent population for 2 variables (maternal age and race/ethnicity). I am trying to figure out why some strata are not displayed in graph below; also I was wondering if there was a way to color-code the graph results to target & referent populations? The missing strata are consistently for the same age groups (i.e. <20years, 25-29yrs, 35-39yrs) across all race/ethnicities. The data lines are all populating correctly. These missing age group strata appear to be those in between other strata. I have truncated the data lines to save space. THANK Y'ALL! **** INPUT COUNTY1 (AREA OF CLUSTER CONCERN) DATA *****; data County1_999; County='County1'; input Mom_RaceEthnic $ Mom_Age $ Cases 11. LiveBirths 11.; datalines; NH_White <20yrs 168 5676 NH_White 20-24yrs 568 19692 NH_White 25-29yrs 808 33205 NH_White 30-34yrs 767 29749 NH_White 35-39yrs 354 12174 NH_White 40+yrs 110 2561 NH_Black <20yrs 164 5020 NH_Black 20-24yrs 364 12040 ...; **** INPUT COUNTY2 (REFERENT/STANDARD POPULATION) DATA *****; data county2_999_REF; input Mom_RaceEthnic $ Mom_Age $ Cases 11. LiveBirths 11.; datalines; NH_White <20yrs 75 3589 NH_White 20-24yrs 254 12351 NH_White 25-29yrs 371 21660 NH_White 30-34yrs 420 25120 NH_White 35-39yrs 280 11972 NH_White 40+yrs 75 2834 NH_Black <20yrs 148 10022 NH_Black 20-24yrs 403 24391 ...; ** SORT DATA TO RUN ANALYSIS **; proc sort data=County1_999; by Mom_RaceEthnic Mom_Age ; run; proc sort data=County2_999_REF; by Mom_RaceEthnic Mom_Age ; run; ** RUN DIRECT STANDARDIZATION **; ods graphics on ; PROC STDRATE data=County1_999 REFDATA=County2_999_REF METHOD=direct STAT=rate(mult=10000) EFFECT=ratio ; population group = County event = Cases total= LiveBirths; reference total=LiveBirths; STRATA Mom_RaceEthnic Mom_Age/effect; run; ods graphics off;
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