Course Hero

Register now to access 7 million high quality study materials (What's Course Hero?) Course Hero is the premier provider of high quality online educational resources. With millions of study documents, online tutors, digital flashcards and free courseware, Course Hero is helping students learn more efficiently and effectively. Whether you're interested in exploring new subjects or mastering key topics for your next exam, Course Hero has the tools you need to achieve your goals.

1 Page

assign4

Course: YR 614, Fall 2009
School: Cincinnati
Rating:
 
 
 
 
 

Word Count: 102

Document Preview

LINEAR MODELS II ASSIGNMENT #6 DUE February 25 4 goats were randomly selected and measured using Methods 1 and 2 on 5 randomly selected periods resulting in the following data PERIOD 1 2 3 4...

Register Now
Search

Unformatted Document Excerpt

Coursehero >> Ohio >> Cincinnati >> YR 614

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
LINEAR MODELS II ASSIGNMENT #6 DUE February 25 4 goats were randomly selected and measured using Methods 1 and 2 on 5 randomly selected periods resulting in the following data PERIOD 1 2 3 4 5 A 75.1 69.0 74.3 51.2 72.6 1 B 65.4 63.3 59.4 62.9 63.8 C 61.9 57.5 74.4 62.9 54.3 METHOD D 69.4 60.7 57.0 56.6 64.3 75.2 A 63.5 80.7 46.7 71.0 2 B 62.7 61.2 65.3 62.1 63.1 C 60.1 59.6 75.8 55.3 58.3 D 70.1 57.0 54.5 49.5 63.3 Consider the model Y = G P G*P M G*M P*M M-fixed, G,P,GP,GM,PM random 1) Construct the Se...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Cincinnati - STAT - 534
SAS PROGRAMMING15-025-534WINTER QUARTERINSTRUCTOR: JAMES A. DEDDENS PHONE: 556-4081 OFFICE: 810E OLD CHEM OFFICE HOURS: 8-1 MWF WEB PAGE: math.uc.edu/~deddensTIME: MWF
Cincinnati - STAT - 534
INSTRUCTIONS FOR USING SAS/PC FOR WINDOWS SAS PROGRAMMING HANDOUT #1 SAS/PC for WINDOWS is available on the IBM machines in the Library computer lab and
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #3 STATISTICAL PROCEDURES This handout describes several of the basic procedures in SAS SAS always uses the most rece
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #4 INFILE and INPUT STATEMENTS The INFILE statement is used when reading in an external file. The FILE statement is us
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #8 SAMPLE INPUTS This first example illustrates some of the issues of length for charcater variables.
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #17 ARRAYs are used to process many variables the same way. The ARRAY statement can be used to define the set of variables as elements of
Cincinnati - STAT - 534
SASPROGRAMMING HANDOUT #22 This MACRO program considers a categorical variable (DISCRETE) and creates dummy variables. This can then be used together with other MACROsO
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #23 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 #26 In this handout we will use PROC IML to find the maximium likelihood estimatefor the Weibull distribution using the Newton Raphson method. SUPPOSE
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #28 This handout will illustrate some of the features of PROC GPLOT.DATA GNP; SET SASHELP.GNP; IF RANUNI(0)<.5 THEN GROUP='A'; ELSE GROUP='B'; IF G
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #32 This handout show how to put multiple plots on a page. You can also just export the graphs into word and paste them on a page.D
Cincinnati - STAT - 534
SAS PROGRAMMING HOMEWORK #5 Due Monday March 31) Write a SAS MACRO program to divide a continuous variable into K equally spaced c
Cincinnati - STAT - 534
SAS Programming15-MATH-534Test #2 NAME _Mar 13,2002 SHOW ALL YOUR WORK1) Suppose the following data has been saved as: HW21.TXT on A:\JAMES
Cincinnati - STAT - 720
HANDOUT #5 LOGISTIC & LOG-BINOMIAL REGRESSIONDATA ONE; INFILE 'A:\DATA1.TXT'; INPUT ID LOW AGE LWT RACE SMOKE PTL HT UI FTV BWT; IF PTL>=1 THEN PTL=1;PROC LOGI
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #14 ARRAYs are used to process many variables the same way. The ARRAY statement can be used to define the set of variables as elements of
Cincinnati - STAT - 534
SAS PROGRAMMING HANDOUT #16DATA SALES; LENGTH ITEM $12; INPUT NAME $ MONTH WEEKDAY COMPID STATE $ @25 ITEM $ & UNITS RETAIL TOTRET;CARDS;FOSTER 1 2 153 ID SYSTEM
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