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2005 BRFSS Conference
22nd Annual Behavioral Risk Factor Surveillance System Conference


The 22nd Annual BRFSS Conference is over. Information is provided for reference only.

Training Sessions

 

 

Saturday, March 5, 2005
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:

  • Overview of probability sampling.
  • Estimation of population parameters.
  • Variance estimation issues for sample survey data.
  • Need for specialized software to analyze sample survey data.
  • How to describe sampling plans to SUDAAN, including the BRFSS sampling plan.
  • Descriptive analyses using procs DESCRIPT and CROSSTAB in SUDAAN.
  • New features in SUDAAN Version 9: confidence intervals and CLASS statement.

Prerequisites:
Experience in statistical analysis and in using some statistical software, preferably SAS, is required.

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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

  • Describe how the BRFSS HRQOL database has been used to inform public health decision making.
  • Identify capabilities and limitations of the Healthy Days measures and BRFSS data.
  • Identify the level of HRQOL associated with arthritis and other common chronic health conditions and references to published literature that supports these assessments.
  • Describe how to access and use public domain Healthy Days data and related analyses to support state and local decision making and chronic disease epidemiologic studies.

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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:

  • Computing odds ratio and relative risk in SUDAAN proc CROSSTAB Version 9.
  • Cochran-Mantel-Haenszel test in SUDAAN proc CROSSTAB.
  • Using SUDAAN proc DESCRIPT for adjusted rates and means.
  • Using SUDAAN proc LOGISTIC for logistic regression, with conditional/predicted marginals.

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.)

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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

  • Describe and illustrate the multi-variable problem addressed by multiple linear and logistic regression.
  • Describe and illustrate the typical epidemiologic research question that is relevant for regression modeling.
  • Determine and interpret from computer output estimated effect measures (e.g., the odds ratio in logistic regression), tests of hypothesis about such estimates, and confidence intervals for effect measures being estimated.
  • Describe and or illustrate how to evaluate interaction and confounding when using regression techniques to describe the relationship between an exposure variables and a health outcome.
  • State, recognize, and/or apply the various stages recommended in the modeling strategy for determining a “best model.”
  • State and apply the hierarchy principle.

Eligibility:
Epidemiologists and statisticians who are familiar with hypothesis testing, confidence intervals, basic epidemiologic study designs, measures of association, stratified analysis, interaction, and confounding.

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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.

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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.

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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:

  • What's new for 2005 (questionnaire, disposition codes, sample, setup, etc.).
  • Quick overview of 2005 Supervisor Guide.
  • The seventh annual BRFSS quiz.
  • Review of some common CATI questions from the past year.
  • Some interviewer issues and what to do about them.
  • Reports with examples.
  • Highlight of some unique state/contractor specific techniques.
  • A potpourri of assorted tips.
  • Discuss new utility programs for CATI (SAS import script writer, etc.).
  • Brief overview of 2005 end of month processing.
  • Discussion of WinCATI 4.2 upgrade and whether you need it.
  • Open question-and-answer period.

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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Page last reviewed: 12/11/2008
Page last updated: 12/11/2008

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