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| Saturday, March 5, 2005 | |
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| 8 a.m. – noon | Using SUDAAN to Analyze BRFSS Data—Introduction. Includes computer lab exercises. |
| 8 a.m. – noon | Use of BRFSS Population Health-Related Quality of Life Data for Planning, Resource Allocation, and Evaluation at the State and Community Level |
| 1 p.m. – 5 p.m. | Using SUDAAN to Analyze BRFSS Data—Intermediate. Includes computer lab exercises. |
| Sunday, March 6, 2005 | |
| 8 a.m. – noon | Combining and Reweighting BRFSS Datasets. No computer lab. |
| 1 p.m. – 5 p.m. | Household Level and Child Level Weighting for BRFSS Datasets. No computer lab. |
| 1 p.m. – 5 p.m. | CATI Users Group Meeting |
| Saturday, March 5, 2005 and Sunday, March 6, 2005 | |
| 8 a.m. – 4 p.m. | Linear and Logistic Regression Modeling in Epidemiologic Research |
Saturday, March 5, 2005
8 a.m. – noon
Using SUDAAN to Analyze BRFSS
Data—Introduction. Includes computer lab exercises.
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins
School of Public Health, Emory University, Atlanta, GA
E-mail: dbrogan@sph.emory.edu
Telephone: 404-727-7701
Fax: 404-727-1370
Cost: $100
Course Description:
This introductory course will cover the basic
procedures, DESCRIPT and CROSSTAB, used to estimate population and
subpopulation (or domain) means, prevalences, and totals. This course
includes organized computer exercises designed to reinforce the lecture and
give students hands-on experience with SUDAAN.
This course will cover the following topics:
Prerequisites:
Experience in statistical analysis and in using some
statistical software, preferably SAS, is required.
Saturday, March 5, 2005
8 a.m. – noon
Use of BRFSS Population
Health-Related Quality of Life Data for Planning, Resource Allocation, and
Evaluation at the State and Community Level
Instructors: David G, Moriarty, BSEE, Program Analyst; Matthew M. Zack, MD, MPH, Medical Epidemiologist; Jennifer M. Hootman, PhD, Epidemiologist
Cost: No fee
Course Description:
The CDC’s National Center for Chronic Disease
Prevention and Health Promotion (NCCDPHP) supports the continuous collection
and analysis of health-related quality of life (HRQOL) and burden of disease
data to assist state and local public health agencies and other partners in
their decision making. This course will review surveillance results based on
the tracking of U.S. adults' perceived physical and mental health since 1993
in the State-based Behavioral Risk Factor Surveillance System (BRFSS) with a
validated set of "Healthy Days" HRQOL measures. These surveillance data have
been used to identify unmet health needs and disparities, assess the burden
of chronic diseases and disabilities, track trends, and guide resource
allocation. Results of related clinical and population research based on
these measures will also be summarized—including a review of Healthy Days
findings for known chronic health conditions studied to date. The validation
and analysis of the Healthy Days measures and data as an integral part of
CDC's State-based Arthritis Program will also be highlighted as a case study
of how a chronic disease program can benefit from the use of these tools.
The course will provide public health decision makers and chronic disease
epidemiologists with practical knowledge, tools, and analytical skills that
will enable them to use existing BRFSS HRQOL and burden of disease data in
decision making, evaluation, and prevention research. The course format will
consist of presentations, a demonstration of how to access the public domain
data, and a participant exercise in the use of the BRFSS data. Each
participant will receive a CD-ROM of course-related public domain data and
course-related documentation, references, and resources.
Course Objectives:
Participants will be able to
Saturday, March 5, 2005
1 p.m. – 5 p.m.
Using SUDAAN to Analyze BRFSS
Data—Intermediate. Includes computer lab exercises.
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins
School of Public Health, Emory University, Atlanta, GA
E-mail: dbrogan@sph.emory.edu
Telephone: 404-727-7701
Fax: 404-727-1370
Cost: $100
During this intermediate-level course, participants will learn how to use SUDAAN to produce age- adjusted rates, odds ratios and prevalence ratios, perform chi-square tests and CMH (Cochran-Mantel-Haenszel) tests, and pairwise comparisons. Logistic regression and linear regression with LOGIST and REGRESS will also be covered. This course includes organized computer exercises designed to reinforce the lecture and give students hands-on experience with SUDAAN.
This course will include the following topics:
Prerequisites:
Knowledge of probability sampling and estimation of
population parameters, experience in BRFSS data analysis with SUDAAN
CROSSTAB and DESCRIPT, and experience in conducting logistic regression is
required. (The above-listed course, Using SUDAAN to Analyze BRFSS
Data—Introduction, along with logistic regression experience, serves as a
prerequisite.)
Saturday, March 5, 2005 and Sunday, March 6, 2005
8 a.m. – 4 p.m.
Linear
and Logistic Regression Modeling in Epidemiologic Research
Instructor: David G. Kleinbaum, Professor Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
Cost: $200
Course Description:
This course considers the basic assumptions and
methods of regression modeling techniques as relevant for epidemiologic
research. The morning of the first day will focus on linear regression
methods. Primary emphasis on logistic modeling will be discussed during the
last day and a half of the course, which is appropriate for binary outcomes
that are typically considered in epidemiologic studies. The mathematical
form of both the linear and logistic regression models will be described, as
well as methods of estimating model parameters, particularly the odds ratio
measure of effect obtained from a logistic model. Maximum likelihood
techniques for testing hypotheses and obtaining confidence interval
estimates will also be described. Also, modeling strategy guidelines for
obtaining a “best” model will be presented. The concepts and methods
described above will be illustrated with several numerical examples.
Although hands-on practice using the computer with standard software
packages will not be available, several practice exercises that use SAS
computer output will be provided. If time permits, an overview of collinearity diagnostic procedures may be presented.
Course Objectives:
Participants will be able to
Eligibility:
Epidemiologists and statisticians who are familiar with
hypothesis testing, confidence intervals, basic epidemiologic study designs,
measures of association, stratified analysis, interaction, and confounding.
Sunday, March 6, 2005
8 a.m. – noon
Combining and Reweighting BRFSS
Datasets. No computer lab.
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins
School of Public Health, Emory University, Atlanta, GA
E-mail: dbrogan@sph.emory.edu
Telephone: 404-727-7701
Fax: 404-727-1370
Cost: No fee
Course Description:
This course defines the terms combining and reweighting, describes and illustrates reasons for combining and reweighting
BRFSS datasets, and demonstrates analytical sample survey methods for
performing combined and reweighted analyses. Participants will learn to
recognize when combining and reweighting needs to be done for specific
analyses and to implement methods for combining and reweighting.
The SUDAAN syntax for combining BRFSS datasets over years is explained and illustrated.
The BRFSS weighting process for recent years will be reviewed. Methods for calculating a new weight variable that replaces the variable _FINALWT in survey data analyses will be demonstrated.
Prerequisites:
Knowledge of probability sampling and estimating
population parameters, understanding the BRFSS sampling plan, and
substantial experience in BRFSS data analysis with some kind of sample
survey software is required.
Sunday, March 6, 2005
1 p.m. – 5 p.m.
Household Level and Child Level
Weighting for BRFSS Datasets. No computer lab.
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins
School of Public Health, Emory University, Atlanta, GA
E-mail: dbrogan@sph.emory.edu
Telephone: 404-727-7701
Fax: 404-727-1370
Cost: $100
BRFSS surveys have always been weighted to make inference to the adult population of the state who reside in a household. Recent questions added to the survey interview may require sampling weight variables different from _FINALWT in order to make inference to the population of children in the state who reside in households. This training session discusses general procedures to use to construct two new sampling weight variables (household level and child level) if they are not provided in the BRFSS datasets.
Household level: Some states have asked the BRFSS respondent for total number of children in the household as well as the number of children in the household who have asthma or some other characteristic. To estimate the prevalence of asthma among children in the state, e.g., using PROC RATIO in SUDAAN, a household sampling weight variable is needed.
Child level: Some states have randomly selected one child from BRFSS eligible households with one or more children. To analyze the child (proxy) interviews, a child sampling weight variable is needed.
Prerequisites:
Knowledge of probability sampling and estimating
population parameters, understanding the BRFSS sampling plan, and
substantial experience in BRFSS data analysis with some kind of sample
survey software is needed.
Sunday, March 6, 2005
1 p.m. – 5 p.m.
CATI Users Group Meeting
Presenter: Mr. Claude Comeau
E-mail: cqcomeau@comeau.com
Cost: No fee
This meeting will provide the BRFSS states and contractors an opportunity to get together, learn, make suggestions and share advice on CATI issues. The topics will be general CATI issues and should be helpful to everyone. This is a great session to find out how the BRFSS is working in different locations and learn a few new tips. This group provides a lively, informative discussion of important BRFSS CATI issues. Start saving your CATI questions and bring them to this session. Interviewer, survey supervisor, and coordinator questions are all encouraged.
Topics covered will include the following:
Please feel free to e-mail any CATI-related thoughts or questions you may have before the session to Claude Comeau, cqcomeau@comeau.com or Bill Garvin, wsg1@cdc.gov .
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12/11/2008
United States Department of Health and Human Services |
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