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UCLA  BIOSTAT 411
 UCLA
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 Profitable Dental Practice 8 Strategies for Building a Practice That Everyone Loves to Visit, Applied Logistic Regression, Textbook and Solutions Manual (Wiley Series in Probability and Statistics), Introduction to Generalized Linear Models, SAS for Linear Models, SAS Procedures Guide, Version 8 (Three Volume Set)

5patternedcovariance
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Choosing a Covariance Model Biostatistics 411 p. 1/1 Reading Read chapters 1 & 2 in ALA (

Tvsfp
School: UCLA
Course: Anlycorrelatd Data
403 403101 1 0 2 3 403 403101 1 0 4 4 403 403101 1 0 4 3 403 403101 1 0 3 4 403 403101 1 0 3

13hierarchical_glimmix
School: UCLA
Course: Anlycorrelatd Data
Random Effect Models: Bernoulli, Poisson and continuous outcomes. * Dichotomizing soma and creating a positive integervalued variable; data bsi2; set bsi; somabinary = 0; if bsi_soma >0 then somabinary = 1; somainteger = bsi_soma*7; run; title glimm

8_malaria_output
School: UCLA
Course: Anlycorrelatd Data
GLIMMIX: Logistic Random Intercept Model for Malaria Data (MMPL) COVARIANCE: random intercept / sub=id(SCHOOL) MEAN: linear treatment time*treatment interaction + covariates The GLIMMIX Procedure Model Information Data Set Response Variable Respons

14examples
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411 Some Examples Biostatistics 411 p. 1/1 Announcements DAP1 due today. DAP2 and 3 due May 18 3pm in

14examples_output
School: UCLA
Course: Anlycorrelatd Data
TVSFP: Television School and Family Smoking Prevention and Cessation Project. First convert from wide to long format. data course.longtvsfp ; set course.tvsfp; score = pre; time=1; id = _n_; output; score = post; time=2; id= _n_; output; drop pre pos

Hw1
School: UCLA
Course: Anlycorrelatd Data
hw1.tex Weiss Biostat 411 January 31, 2009 1 Homework 1 Type all homework. Course web site: http:/rem.ph.ucla.edu/rob/biostat411/. 1. Dental Data. This data measures the distance in mm from the center of the pituitary gland to the pteryomaxillary

Hw2
School: UCLA
Course: Anlycorrelatd Data
hw2.tex Weiss Biostat 411 February 18, 2009 1 Homework 2 Type all homework. You may work in groups of two for this homework set. Course web site: http:/rem.ph.ucla.edu/rob/biostat411/. 1. Bolus Counts. The Bolus Count data is a study of patient co

Hw3
School: UCLA
Course: Anlycorrelatd Data
hw3.tex Weiss Biostat 411 February 23, 2009 1 Homework 3 Type all homework. You may work in groups of up to three people for this homework problem. Course web site: http:/rem.ph.ucla.edu/rob/biostat411/. 1. Fit the malaria model with the predictor

HW3Solutions 2009
School: UCLA
Course: Anlycorrelatd Data
Biostatistics 411 Altstein & Weiss Suggested Solutions to Homework 3 Marginal Models for Fever in Morbidity Class Data Here is the code to run the marginal model with CS working correlation and the GLMM from homework 2, including CONTRAST statements

411Lab1
School: UCLA
Course: Anlycorrelatd Data
Biostatistics 411 Altstein & Weiss Lab 1 Part I: Computing Resources The UCLA Academic Technology Services website (http:/www.ats.ucla.edu/stat/) is a great resource for SAS programming, covering all kinds of data management and statistical tasks. T

411Lab5
School: UCLA
Course: Anlycorrelatd Data
Biostatistics 411 Altstein & Weiss Lab 5 Lab 5: GLIMMIX Preliminaries GLIMMIX does not come with SAS, although anyone with a valid copy of SAS can download GLIMMIX for free at http:/support.sas.com/rnd/app/download.html. The GLIMMIX documentation is

411Lab6
School: UCLA
Course: Anlycorrelatd Data
Biostatistics 411 Altstein & Weiss Lab 6 Lab 6: GENMOD For Marginal GLMs Preliminaries In lab 5, we learned how to fit generalized linear mixed models (GLMM) in PROC GLIMMIX (we have also referred to these as random effects models for discrete data

12hierarchical_figures
School: UCLA
Course: Anlycorrelatd Data
20 15 Percent of Total 10 5 0 0 1 2 3 4 BSI Somatic Symptoms Somatic Symptoms are quite skewed. Perhaps a log transformation can help? 5 4 Percent of Total 3 2 1 0 3 2 1 0 1 2 log2 BSI Somatic Symptoms A log (base 2) transformation

12hierarchical
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411 Hierarchical Longitudinal Models Biostatistics 411 p. 1/2 Current Reading Read chapters 17 and 16

13discrete_hierarchical
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411 Hierarchical Longitudinal Models for Discrete Data Biostatistics 411 p. 1/1 Current Reading My of

6random_effects
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Random Effects Models Biostatistics 411 p. 1/1 Reading It is assumed you are familiar wit

2basicconcepts
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411 Basic Concepts Biostatistics 411 p. 1/1 Reading Read chapters 1 & 2 in ALA (Applied Longitudinal A

4mean_models
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Models for the Mean Over Time Biostatistics 411 p. 1/1 Reading Read chapters 1 & 2 in ALA

1figures
School: UCLA
Course: Anlycorrelatd Data
figures.tex Weiss Analysis of Correlated Data 01/06/09 1 10 1 15 Tolerance (sec) 20 25 30 35 2 Trial (a) 3 4 Figure 1: Five observations from the pediatric pain data set. One subject has only two observations. figures.tex Weiss Analy

1intro2
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Biostatistics 411 p. 1/? Introduction Syllabus Course Business What is correlated data? Pitfalls Pictures of longitudinal data Course website: http:/rem

6figures
School: UCLA
Course: Anlycorrelatd Data
6gures.tex Weiss Analysis of Correlated Data 01/26/09 1 Random Intercept Example 60 20 0 30 Response 40 50 1 2 Time 3 4 5 Figure 1: Random intercept example data set. 6gures.tex Weiss Analysis of Correlated Data 01/26/09 2 Random In

8glimmix
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Correlated Discrete Data Biostatistics 411 p. 1/2 Current Reading Read chapters 6 & 7 in

10gee
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Generalized Estimating Equations Biostatistics 411 p. 1/2 Current Reading Read chapters

Singer1998_2
School: UCLA
Course: Anlycorrelatd Data
American Educational Research Association Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models Author(s): Judith D. Singer Source: Journal of Educational and Behavioral Statistics, Vol. 23, No. 4 (Winter,

9count
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Correlated Discrete Data Biostatistics 411 p. 1/1 Current Reading Read chapters 8 & 10 i

3notation
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411 Notation and Statistical Concepts Biostatistics 411 p. 1/1 Reading Read chapters 1 & 2 in ALA (App

7glm
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Generalized Liner Models Biostatistics 411 p. 1/1 Current Reading Read chapters 6 & 7 in

11hierarchical
School: UCLA
Course: Anlycorrelatd Data
Analysis of Correlated Data Robert Weiss robweiss@ucla.edu Teaching Assistant : Lily Altstein Course website: http:/rem.ph.ucla.edu/rob/biostat411:Notation Hierarchical Models Biostatistics 411 p. 1/1 Current Reading Read chapter 13 in ALA for

411Lab7
School: UCLA
Course: Anlycorrelatd Data
Biostatistics 411 Altstein & Weiss Lab 7 Lab 7: Hierarchical Models for Continuous Outcomes Preliminaries Hierarchical (aka multilevel) models are very similar to the longitudinal models we have studied so far; in fact, longitudinal data is a specia