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Course: STAT 534, Fall 2009School: Cincinnati
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PROGRAMMING SAS HANDOUT #16 DATA SALES; LENGTH ITEM $12; INPUT NAME $ MONTH WEEKDAY COMPID STATE $ @25 ITEM $ & UNITS RETAIL TOTRET; CARDS; FOSTER 1 2 153 ID SYSTEM 2 3100 6200 FOSTER 1 4 333 WY Z-80 4 26 104 FOSTER 1 5 326 MT SOFTWARE 1 99 99 FOSTER 1 6 320 NV...
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PROGRAMMING
SAS HANDOUT #16
DATA SALES;
LENGTH ITEM $12;
INPUT NAME $ MONTH WEEKDAY COMPID STATE $ @25 ITEM $ & UNITS RETAIL TOTRET;
CARDS;
FOSTER 1 2 153 ID SYSTEM 2 3100 6200
FOSTER 1 4 333 WY Z-80 4 26 104
FOSTER 1 5 326 MT SOFTWARE 1 99 99
FOSTER 1 6 320 NV CABLE 3 20 60
FOSTER 2 3 333 WY SOFTWARE 2 99 198
FOSTER 2 4 153 ID SYSTEM 1 3100 3100
FOSTER 3 2 333 WY Z-80 3 26 78
FOSTER 3 3 153 ID MODEM 2 200 400
FOSTER 3 6 320 NV CABLE 6 20 120
GRANT 1 2 043 OR DISKS 25 5 125
GRANT 1 2 132 CA VDT 11 199 2189
GRANT 1 2 134 CA DISK DRIVE 5 350 1750
GRANT 2 2 132 CA VDT 1 199 199
GRANT 2 2 134 CA DISK DRIVE 2 350 700
GRANT 2 4 043 OR DISKS 5 5 25
GRANT 2 4 330 WA Z-80 2 26 52
GRANT 2 6 345 CA MODEM 1 200
GRANT 200 3 3 043 OR Z-80 2 26 52
GRANT 3 5 132 CA SYSTEM 4 3100 12400
GRANT 3 5 330 WA CABLE 2 20 40
;
OPTIONS NODATE NONUMBER ;
PROC REPORT HEADLINE HEADSKIP NOWD;
COLUMN NAME ITEM UNITS RETAIL;
DEFINE NAME / DISPLAY WIDTH=6 FORMAT=$6.;
DEFINE ITEM / CENTER DISPLAY WIDTH=10 FORMAT=$10.;
DEFINE UNITS / LEFT SUM WIDTH=15 FORMAT=COMMA5.;
DEFINE RETAIL / RIGHT SUM WIDTH=8 FORMAT=DOLLAR8. 'RETAIL/PRICE';
RUN;
OPTIONS NODATE NONUMBER ;
PROC REPORT HEADLINE HEADSKIP NOWD;
COLUMN NAME ITEM UNITS RETAIL TOTRET;
DEFINE NAME / ORDER WIDTH=6 FORMAT=$6.;
DEFINE ITEM / ORDER WIDTH=10 FORMAT=$10.;...
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Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #21 This handout writes a SAS macro to check for linearity in linear regression, (like HANDOUT #11)by creating dummy CATi variables for the percentil
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #23 PROC IML is a interactive matrix language that contains lots of matrix functions,SAS functions, and various programming statement
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #25 This handout gives a MACRO written by Prof. Frank Harrell to do "restrictedcubic splines" in SAS. It can be used within a data step to define splines.If you s
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #9 Fit an exponential distribution to the entire dataoptions linesize=80;DATA HMOHIV; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG C
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #11 Fit an exponential distribution to the entire data set Compare the fit to the Kaplan Meier curveDATA HMOHIV; INPUT ID @13 ENTD
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #14 Fit 2 2-parameter Weibull distributions to the data (drug=0/1)DATA HMOHIV; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #16 Use LLS to check for PH and Weibull for AGEOPTIONS LS=80 FORMDLIM='-';DATA HMOHIV; SET HMOHIV; MONTH=(ENDDATE-ENTDATE)/30; CAGE
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #18 Lets try to simulate the weibull and log-normal right censored distributionsOPTIONS LS=80 FORMDLIM='*';DATA WEIB; DO N=1 TO 400000; CENSOR=1
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #19 Get the Cox-Snell residuals as explained on page 290DATA HMOHIV; INFILE 'A:\DATA4.TXT' pad missover; INPUT ID @13 ENTDATE DATE7. @23 E
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #21DATA HMOHIV; INFILE 'A:\DATA4.TXT' pad missover; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG CENSOR; MONTH=(ENDDATE-ENTDATE)/30;DAT
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #22 This handout will plot 2 KM curves, 2 weibull curves and 2 PHREG curvesDATA HMOHIV; INFILE 'A:\DATA4.TXT'; INPUT ID @13 ENTDATE DATE7. @2
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #23 Compare Cox to Weibull for 2 modelsDATA HMOHIV; INFILE 'A:\DATA4.TXT' pad missover; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #24 Get predicted Cox curves for different covariate valuesDATA HMOHIV; INFILE 'A:\data4.txt'; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #25*use drug as a STRATA variable;*use this if the PH assumption is not valid for DRUG;*SAS will estimate different baseline survival curves for DRUG=0
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #28 Do Poisson regression to model rates rates.DATA KKM; INPUT CITY AGE CASES PYRS @; LAGE=LOG(AGE-15)/35); LPYRS=LOG(PYRS);CARDS;0 20 1 1
Cincinnati - STAT - 572
HOMEWORK #1 SURVIVAL ANALYSIS Due Wednesday April 91) Suppose x1,x2,.,xn is a random sample from the distribution: for x>0:
Cincinnati - STAT - 572
HOMEWORK #6 SURVIVAL ANALYSIS June 6 You need to find an article that uses either logistic, Weibull, or Cox regression
Cincinnati - STAT - 572
HOMEWORK #7 SURVIVAL ANALYSIS June 4 USE THE DATA FROM HOME WORK ASSIGNMENT #5 BUT THIS TIME USE alpha=.10 Perform
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #15 PROC SQL is a relatively new procedure that can handle many data set manipulations. Many of the command are similar to the SQL programming language
Cincinnati - STAT - 534
SAS PROGRAMMING ASSIGNMENT #2 due Monday Jan 28 NOTE: You need to show you programs and your output. You should assume the file contains perhaps 1000'
Cincinnati - STAT - 722
SPRING QUARTERSTATISTICAL CONSULTING LAB15-MATH-722-001INSTRUCTOR: JAMES A. DEDDENS Phone: 556-4081OFFICE: 810E Old ChemWEB PAGE: math.uc.edu/~deddensEMAIL: james.deddens@math.uc.edu j
Cincinnati - STAT - 722
%MACRO RCSPLINE(x,knot1,knot2,knot3,knot4,knot5,knot6,knot7,knot8,knot9,knot10, norm=2); %LOCAL j v7 k tk tk1 t k1 k2; %LET v7=&x; %IF %LENGTH(&v7)=8 %THEN %LET v7=%SUBSTR(&v7,1,7); %*Get no. knots, last knot, next to last knot;
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #4DATA ONE; INFILE 'C:\JIMSAS\DATA1.TXT'; INPUT ID LOW AGE LWT RACE SMOKE PTL HT UI FTV BWT; IF PTL>=1 THEN PTL=1; CAGE1=(19<AGE<=23); CAGE2=
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #5DATA ONE; INFILE 'C:\JIMSAS\DATA1.TXT'; INPUT ID LOW AGE LWT RACE SMOKE PTL HT UI FTV BWT; IF PTL>=1 THEN PTL=1; C
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #6DATA ONE; INFILE 'C:\JIMSAS\DATA1.TXT'; INPUT ID LOW AGE LWT RACE SMOKE PTL HT UI FTV BWT; IF PTL>=1 THEN PTL=1;PROC LOGISTIC DESCENDING; M
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #10DATA HMOHIV; INFILE 'A:\DATA4.TXT'; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG CENSOR; MONTH=(ENDDATE-ENTDATE)/30; DA=DRUG*AGE;PRO
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #13DATA HMOHIV; INFILE 'A:\DATA4.TXT'; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG CENSOR; MONTH=(ENDDATE-ENTDATE)/30; WHER
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #15DATA HMOHIV; INFILE 'A:\DATA4.TXT'; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG CENSOR; MONTH=(ENDDATE-ENTDATE)/30; IF
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #19DATA HMOHIV; INFILE 'A:\DATA4.TXT' pad missover; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG CENSOR; MONTH=(ENDDATE-ENTD
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #21DATA HMOHIV; INFILE 'A:\DATA4.TXT' pad missover; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME AGE DRUG CENSOR; MONTH=(ENDDATE-ENTD
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #23 This handout will plot 2 KM curves, 2 weibull curves and 2 PHREG curvesDATA HMOHIV; INFILE 'A:\DATA4.TXT'; INPUT ID @13 ENTDATE DATE7. @2
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #24 Compare Cox to Weibull for 2 modelsDATA HMOHIV; INFILE 'A:\DATA4.TXT' pad missover; INPUT ID @13 ENTDATE DATE7. @23 ENDDATE DATE7. TIME
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #29 Do Poisson regression to model rates rates.DATA KKM; INPUT CITY AGE CASES PYRS @; LAGE=LOG(AGE-15)/35); LPYRS=LOG(PYRS);CARDS;0 20 1 1
Cincinnati - STAT - 572
SURVIVAL ANALYSIS HANDOUT #30*MATCHED CASE CONTROL DATA FROM HOSMER-LEMESHOW;*FOR EACH CASE, A CONTROL IS RANDOMLY SELECTED FROM THOSE WITH THE SAME AGE;DATA MATCH; INFILE 'A:\DAT
Cincinnati - STAT - 572
%MACRO RCSPLINE(x,knot1,knot2,knot3,knot4,knot5,knot6,knot7,knot8,knot9,knot10, norm=2); %LOCAL j v7 k tk tk1 t k1 k2; %LET v7=&x; %IF %LENGTH(&v7)=8 %THEN %LET v7=%SUBSTR(&v7,1,7); %*Get no. knots, last knot, next to last knot;
Cincinnati - YR - 615
LINEAR MODELS 615 HANDOUT #9 Let us demonstrate how to use the lsmeans statement in PROC MIXED.data mj308; do tray=1 to 12; moist=10*(1+int(tray-1)/3); do fert=
Cincinnati - YR - 615
LINEAR MODELS III HANDOUT #12 This gives an example of a doubly repeated measures analysis of variance.DATA DOUBLY; INPUT SUBJECT Y1 Y2 Y3 Y4 Y5 Y6;CARDS;10029 40
Cincinnati - YR - 615
LINEAR MODELS III HANDOUT #14 This gives the example in SAS System for mixed models on random effects modelssdata wheat; input id variety yield moist; datalines; 1 1
Cincinnati - LM - 615
LINEAR MODELS III HANDOUT #14 This gives the example in SAS System for mixed models on random effects modelssdata wheat; input id variety yield moist; datalines; 1 1
Cincinnati - YR - 615
LINEAR MODELS III HANDOUT #15 This handout does the Hotelling T-statistic. It will test the hypothesis of all means equal to 80 H0: mu1=mu2=mu3=mu4=mu5=mu6=mu7 =
Cincinnati - YR - 615
LINEAR MODELS III HANDOUT #20 This handout will use PROC IML to compute the multivariate statisticsdata weights; input subj program$ s1 s2 s3 s4 s5 s6 s7; ONE=1;
Cincinnati - YR - 615
LINEAR MODELS III HANDOUT #21 This handout will use the M options in the MANOVA statementdata weights; input subj program$ s1 s2 s3 s4 s5 s6 s7; datalines; 1
Cincinnati - YR - 615
LINEAR MODEL III HANDOUT #23 This handout will illustrate the multivariate test for equal variance-covariance matrix.data iris; input sepallen sepalwid petallen peta
Cincinnati - YR - 615
LINEAR MODELS III HANDOUT #26 This handout will illustrate factor analysis using the correlation matrix as input.DATA PHYS8(TYPE=CORR /* DF=304 */); IN
Cincinnati - YR - 615
LINEAR MODEL III HANDOUT #29data iris; input sepallen sepalwid petallen petalwid species @; c_species=0; if species<2.5 then c_species=1; cards;50 33 14 02 1 64 2
Cincinnati - YR - 615
LINEAR MODELS III ASSIGNMENT #5 Due Monday June 9IF YOUR SSN IS ODD Consider the following CRIME data set.0) Find the correct definit
Cincinnati - STAT - 722
SPRING QUARTERSTATISTICAL CONSULTING LAB15-MATH-722-001INSTRUCTOR: JAMES A. DEDDENS Phone: 556-4081OFFICE: 811d Old ChemWEB PAGE: math.uc.edu/~deddensEMAIL: james.deddens@math.uc.edu j
Cincinnati - STAT - 363
SPRING QUARTERPROB & STAT III15-MATH-363-001INSTRUCTOR: JAMES A. DEDDENS Phone: 556-4081ROOM: 716 SwiftOFFICE: 810E Old ChemOFFICE HOURS: MWF 8-11WEB PAGE: math.uc.edu/~ded
Cincinnati - PS - 147
FALL QUARTERELEMENTARY PROBABILITY AND STATISTICS15-MATH-147-001INSTRUCTOR: JAMES A. DEDDENS Phone: 556-4081OFFICE: 811d Old ChemWEB PAGE: math.uc.edu/~deddensEMAIL: james.deddens@math.uc.edu
Cincinnati - PS - 147
HOMEWORK #7CONSIDER #27 IN CHAPTER 3A) RANDOMLY ASSIGN THE 20 SUBJECTS TO THE 4 DIET REGIMENS SO EACH DIET WILL BE GIVEN TO FIVE SUBJECTSB) PERFORM THE BLOCK DESIGN AS DESCRIBED IN #27 YOU MUST ARRANGE THE SUBJECTS ACCORDIN
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #25 This handout gives a MACRO written by Prof. Frank Harrell to do "restrictedcubic splines" in SAS. It can be used within a data step to define splines.If you s
Cincinnati - STAT - 534
SAS PROGRAMMING ASSIGNMENT #1 due Friday January 18 NOTE: You need to show you programs and your output. Be sure to use proper SAS syntax! Tr
Cincinnati - STAT - 5341
SAS PROGRAMMING15-025-534WINTER QUARTERINSTRUCTOR: JAMES A. DEDDENS PHONE: 556-4081 OFFICE: 811d OLD CHEM WEB PAGE: math.uc.edu/~deddensTIME: MWF 1-2OFFICE HOURS: MWF 8-11
Cincinnati - STAT - 5341
SAS PROGRAMMING HANDOUT #2 THE DATA STEP SAS programs generally consist of a series of "DATA STEP"s and "PROC"s. The "
Cincinnati - STAT - 5341
SAS PROGRAMMING HANDOUT #4 INFILE and INPUT STATEMENTS The INFILE statement is used when reading in an external file. The FILE statement is use
Cincinnati - STAT - 5341
SAS PROGRAMMING HANDOUT #5 DATA SET MERGES There are several ways to combine and/or subset data sets. Suppose AA an
Cincinnati - STAT - 5341
SAS PROGRAMMING HANDOUT # 9 This program will use several of the SAS functions and data set optionsthat we learned in previous handouts. It first generates 100 samples
Cincinnati - STAT - 5341
HANDOUT #10 THE OUTPUT DELIVERY SYSTEM The ODS is a new version 8 method for delivering output. We will first run the following program.ODS TRACE ON;DATA ONE; INPUT X Y @
Cincinnati - STAT - 5341
SASPROGRAMMING HANDOUT #11 This handout will illustrate various options of PROC UNIVARIATE, PROC REG. We will use the GNP data set which is in the SASHELP library on ev
Cincinnati - STAT - 5341
SAS PROGRAMMING HANDOUT #12 INSIGHT#1 INSIGHT can be used to enter and analyse data as in a spreadsheet, or it can b
Cincinnati - STAT - 5341
SAS PROGRAMMING HANDOUT #14 This handout will illustrate some of the features of PROC GPLOT and also showhow do to a normal probablity plot.LIBNAME JIM 'A:\STAT534';DATA