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...ADJUSTING AGE proc format; value age 0 = '1' 1 4 = '2' 5 14 = '3' 15 24 = '4' 25 34 = '5' 35 44 = '6' 45 54 = '7' 55 64 = '8' 65 74 = '9' 75 84 = '10' 85 high = '11' ; run; *filename vsd ftp 'c:\vs\deaths\data\dthsta00.txt' host='169.226.136.233' prompt debug user='armando' pass='sph12345' ; filename vsd 'd:\vs\deaths\data\dthsta00.txt'; data deaths (drop=mcd units); infile vsd; input @005 county $2. ...
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ADJUSTING AGE proc format; value age 0 = '1' 1 4 = '2' 5 14 = '3' 15 24 = '4' 25 34 = '5' 35 44 = '6' 45 54 = '7' 55 64 = '8' 65 74 = '9' 75 84 = '10' 85 high = '11' ; run; *filename vsd ftp 'c:\vs\deaths\data\dthsta00.txt' host='169.226.136.233' prompt debug user='armando' pass='sph12345' ; filename vsd 'd:\vs\deaths\data\dthsta00.txt'; data deaths (drop=mcd units); infile vsd; input @005 county $2. @007 mcd $2. @023 units $1. @035 cause $4. @066 age ?? 3. ; if (county ge '01' and county le '61') or county eq '70'; if county eq '70' then county = mcd; if units ge '2' and units le '5' then age = 0; run; * count deaths within each county and age group ; proc freq data=deaths; table county*age / noprint out=dtab1; *table county*age / noprint out=dtab1 (drop=percent rename=(count=deaths)); *table county*age / noprint out=dtab1 sparse; where age is not missing; format age age.; run; * what is in the data set what are the values of the variable age some counties do not have deaths in each age group ; title "DATA SET DTAB1 FROM PROC FREQ"; proc print data=dtab1; *where age eq 11; *format _all_; run; title "DATA SET DTAB1 PROC CONTENTS"; proc contents data=dtab1; run; 1 AGE ADJUSTING * another way to creat a data set with counts; ; proc summary data=deaths; *proc summary data=deaths nway; class county age; output out=dtab2; format age age.; run; * what is in the data set produced with PROC SUMMARY extra output (totals for each CLASS variable) some counties do not have deaths in each age group ; title "DATA SET DTAB2 FROM PROC SUMMARY"; proc print data=dtab2; *format _all_; run; * use options to force ZERO counts into the data set ; proc summary data=deaths completetypes; class county; class age / preloadfmt; output out=dtab3; format age age.; *limit deaths to a specific cause ICD 10 cancer deaths all start with 'C'; *where cause eq : 'C'; *heart attack 'acute myocardial infarction'; *where cause eq : 'I21'; run; * rearrange the data set one record per county ; proc transpose data=dtab3 out=dtrans3 (drop=_:) prefix=d; var _freq_; id age; by county; where age ne .; *format _all_; run; title 'DATA SET DTRANS3 ... DEATHS BY AGE GROUP WITHIN COUNTIES'; proc print data=dtrans3; run; * create population data use a SAS data set ; *libname sf1 'c:\census\sf1\datasets'; libname sf1 'k:\census\datasets'; *what's in the data set; proc contents data=sf1.pct12; run; 2 AGE ADJUSTING * create populations in 11 age groups ; data pop1 (keep=county p0 p11); set sf1.pct12; where sumlev eq '050'; p0 = pct012001; p1 = sum (of pct012003 pct012107); p2 = sum (of pct012004 pct012007 pct012108 pct012111); p3 = sum (of pct012008 pct012017 pct012112 pct012121); p4 = sum (of pct012018 pct012027 pct012122 pct012131); p5 = sum (of pct012028 pct012037 pct012132 pct012141); p6 = sum (of pct012038 pct012047 pct012142 pct012151); p7 = sum (of pct012048 pct012057 pct012152 pct012161); p8 = sum (of pct012058 pct012067 pct012162 pct012171); p9 = sum (of pct012068 pct012077 pct012172 pct012181); p10 = sum (of pct012078 pct012087 pct012182 pct012191); p11 = sum (of pct012088 pct012105 pct012192 pct012209); *if p0 ne sum (of p1 p11) then put 'mistake ' county=; run; proc print data=pop1; run; * add a state total to the data set ; proc summary data=pop1; class county; var p0 p11; output out=tpop1 (drop=_:) sum=; run; proc print data=tpop1; run; * change county numbers in the DEATH data set to FIPS numbers use a format in the format library add total deaths to each observation ; proc format library=library; select $cog2fip; run; data dtrans3; set dtrans3 (rename=(county=temp)); county = if put(temp,$cog2fip.); county eq '999' then county = ''; d0 = sum(of d1 d11); drop temp; run; proc print data=dtrans3; var county d0 d11; run; * merge DEATHS and POPULATION sort the DEATHS first, by county number ; proc sort data=dtrans3; by county; run; 3 AGE ADJUSTING data dth_pop; merge dtrans3 tpop1; by county; run; * use an data step to comput an age adjusted death rate ; data rates (keep=county d0 p0 r_:); *** year 2000; array adj(11) _temporary_ (.013818 .055317 .145565 .138646 .135573 .162613 .134834 .087247 .066037 .044842 .015508); *** year 1940; *array adj(11) _temporary_ (.015343 .064718 .170355 .181677 .162066 .139237 .117811 .080294 .048426 .017303 .002770); array d(11); array p(11); set dth_pop; r_crude = 1000 * d0 / p0; r_adjusted = 0; do j=1 to 11; r_adjusted + adj(j)*d(j)/p(j); end; r_adjusted = 1000*r_adjusted; label d0 = 'DEATHS' p0 = 'POPULATION' ; run; * use a recursive format to label the blank county add a rule to an existing format ; proc format library=library; select $fip2nam; run; proc format; value $county ' ' = 'NEW YORK STATE' other = [$fip2nam40.] ; run; title "RECURSIVE FORMAT"; proc format; select $county; run; title "CRUDE AND AGE ADJUSTED DEATH RATES PER 1,000 POPULATION, NYS 2000"; proc print data=rates noobs label; var county d0 p0 r_crude r_adjusted; format county $county. d0 p0 comma10. r_: 6.1; run; 4 AGE ADJUSTING * add RANKS use DESCENDING #1 is worst ; proc rank data=rates out=ranks descending ties=low; where county ne ''; var r_crude r_adjusted; ranks rank_c rank_a; *label rank_c = "CRUDE RANK" rank_a = "ADJUSTED RANK" ; run; proc sort data=ranks; by rank_a; run; title "CRUDE AND AGE ADJUSTED DEATH RATES (+ RANK) PER 1,000 POPULATION, NYS 2000"; proc print data=ranks noobs label; var county d0 p0 r_crude r_adjusted rank_c rank_a; format county $county. d0 p0 comma10. r_: 6.1; run; * use ODS to create either HTML or PDF output ; proc sort data=ranks; by county; run; ods listing close; ods html file='z:\age_adjust.htm' style=barrettsblue; title "CRUDE AND AGE ADJUSTED DEATH RATES (+ RANK) PER 1,000 POPULATION, NYS 2000"; proc print data=ranks noobs label; var county d0 p0 r_crude r_adjusted rank_c rank_a; format county $county. d0 p0 comma10. r_: 6.1; run; ods html close; ods listing; ods listing close; ods pdf file='z:\age_adjust.pdf' notoc ; title "CRUDE AND AGE ADJUSTED DEATH RATES (+ RANK) PER 1,000 POPULATION, NYS 2000"; proc print data=ranks noobs label; var county d0 p0 r_crude r_adjusted rank_c rank_a; format county $county. d0 p0 comma10. r_: 6.1; run; ods pdf close; ods listing; 5 AGE ADJUSTING * look at a plot of the RANKS points close to DIAGONAL not affected much by adjustment ; goptions reset=all ftext='calibri' gunit=pct htext=4; symbol f='calibri' v='*' h=4; %annomac; data line; retain xsys ysys '2'; %LINE (0, 0, 70, 70, red, 2, 2); run; title "COMPARISON OF CRUDE AND ADJUSTED RANKS"; proc gplot data=ranks; plot rank_a*rank_c / annotate=line; *plot r_adjusted*r_crude; label rank_c = 'CRUDE' rank_a = 'ADJ' ; run; quit; * pop ups; data ranks; retain xsys ysys '2' hsys '3' color 'red' when 'a'; set ranks; x = rank_c; y = rank_a; popup = catt('TITLE="',put(county,$county.),'"'); run; goptions reset=all ftext='calibri' gunit=pct htext=4 device=png xpixels=800 ypixels=600; symbol f='calibri' v='*' h=4; ods listing close; ods html path='z:\' (url=none) file='ranks.html'; title "COMPARISON OF CRUDE AND ADJUSTED RANKS"; proc gplot data=ranks; plot rank_a*rank_c / annotate=line html=popup; *plot r_adjusted*r_crude; label rank_c = 'CRUDE' rank_a = 'ADJ' ; run; quit; ods html close; ods listing; proc print data=ranks; format county $county.; run; 6
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SUNY Albany >> PO >> 553 (Fall, 2009)
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SUNY Albany >> PO >> 467 (Fall, 2009)
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SUNY Albany >> PO >> 553 (Fall, 2009)
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# 1 BS 2 Robert Pruzek Mentor Dept or Program Years in program A Propensity Score Analysis to Compare Two Kinds of Gallbladder Surgeries Author (s) Liyi Cen The objective of this study is to compare hospit...
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SUNY Albany >> V >> 177 (Fall, 2009)
pacific journal of mathematics Vol. 177, No. 1, 1997 BERGMAN ISOMETRIES BETWEEN CONVEX DOMAINS IN C2 WHICH ARE POLYHEDRAL Andrea Pagano This article deals with the problem of analyticity of Bergman isometries. One of the most important properties of...
SUNY Albany >> V >> 177 (Fall, 2009)
pacific journal of mathematics Vol. 177, No. 2, 1997 FREE QUASI-FREE STATES Dimitri Shlyakhtenko To a real Hilbert space and a one-parameter group of orthogonal transformations we associate a C -algebra which admits a free quasi-free state. This co...
SUNY Albany >> CSI >> 201 (Fall, 2009)
The vi Editor A Brief Summary of Basic Commands A programmer spends a lot of time writing code. The essential tool for writing source code is a text editor, which means that an editor is one of the most important tools that a programmer uses. It is ...
SUNY Albany >> CSI >> 110 (Fall, 2009)
1. What is the URL (i.e, web address) for this course\'s web site? 2. How do you receive the messages from the course listserv? How do you send a message to the course listserv? Who gets the messages you send to the course listserv? 3. When a computer...
SUNY Albany >> CSI >> 310 (Fall, 2009)
CSI 310 Data Structures Spring 2006 Project 6 Expressions and Trees Professor Chaiken Due: April 24-26(see project policy!) The major part of this project is to implement a program like that for Carranos postx calculator, but with more. Your progra...
SUNY Albany >> CSI >> 6 (Fall, 2009)
CSI 310 Data Structures Spring 2006 Project 6 Expressions and Trees Professor Chaiken Due: April 24-26(see project policy!) The major part of this project is to implement a program like that for Carranos postx calculator, but with more. Your progra...
SUNY Albany >> PR >> 310 (Fall, 2009)
CSI 310 Data Structures Spring 2006 Project 6 Expressions and Trees Professor Chaiken Due: April 24-26(see project policy!) The major part of this project is to implement a program like that for Carranos postx calculator, but with more. Your progra...
SUNY Albany >> CSI >> 06 (Fall, 2009)
[0] [1] [2] [3] [47] [48] [49] [50] [51] This is our Array. 0 1 2 3 This is the math. number line. RAND_MAX 0 <= int R=rand() <= RAND_MAX F=static_cast<double>(R)/RAND_MAX; is a double float between 0.0 and 1.0 SF = F*52.0; is between 0.0 and 52.0...
SUNY Albany >> CSI >> 310 (Fall, 2009)
[0] [1] [2] [3] [47] [48] [49] [50] [51] This is our Array. 0 1 2 3 This is the math. number line. RAND_MAX 0 <= int R=rand() <= RAND_MAX F=static_cast<double>(R)/RAND_MAX; is a double float between 0.0 and 1.0 SF = F*52.0; is between 0.0 and 52.0...
SUNY Albany >> CSI >> 310 (Fall, 2009)
CSI 310 Data Structures Project 7 Maze Solutions Spring 2007 Professor Chaiken Due: May 1-May 3 (See project policy!) 1 Readings Finish Carranos Chap 5, especially p. 248-251 and programming problem 4. Finish Chapter 6 especially 6.5 and 6.6. Cha...
SUNY Albany >> CSI >> 7 (Fall, 2009)
CSI 310 Data Structures Project 7 Maze Solutions Spring 2007 Professor Chaiken Due: May 1-May 3 (See project policy!) 1 Readings Finish Carranos Chap 5, especially p. 248-251 and programming problem 4. Finish Chapter 6 especially 6.5 and 6.6. Cha...
SUNY Albany >> PR >> 310 (Fall, 2009)
CSI 310 Data Structures Project 7 Maze Solutions Spring 2007 Professor Chaiken Due: May 1-May 3 (See project policy!) 1 Readings Finish Carranos Chap 5, especially p. 248-251 and programming problem 4. Finish Chapter 6 especially 6.5 and 6.6. Cha...
SUNY Albany >> CSI >> 27 (Fall, 2009)
CSI310 Course Summary and Review Goal: Learn to think and evaluate. Details in the text we didnt cover can be gured out or studied from other sources when needed. ChoicesIllustrated by C vs STL string The partially-lled array plus used variable is ...
SUNY Albany >> CSI >> 310 (Fall, 2009)
CSI310 Course Summary and Review Goal: Learn to think and evaluate. Details in the text we didnt cover can be gured out or studied from other sources when needed. ChoicesIllustrated by C vs STL string The partially-lled array plus used variable is ...
SUNY Albany >> CSI >> 310 (Fall, 2009)
CSI 310 Data Structures Spring 2007 Professor Chaiken Project 3 Dynamic Lists of Text Lines and Sorting Intro Due: RFC period ends March 1, 9:00AM. Part 1 March 7-9, Part 2 March 7-14 (see project policy!) I will consider emailed requests for changes...
SUNY Albany >> PR >> 310 (Fall, 2009)
CSI 310 Data Structures Spring 2007 Professor Chaiken Project 3 Dynamic Lists of Text Lines and Sorting Intro Due: RFC period ends March 1, 9:00AM. Part 1 March 7-9, Part 2 March 7-14 (see project policy!) I will consider emailed requests for changes...
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