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Office of Surveillance, Epidemiology, and Laboratory Services
Behavioral Risk Factor Surveillance System
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Note: You must register for the conference to enroll in the training sessions.
| Saturday, March 24, 2007 | |
|---|---|
| 8 AM Noon | Using SAS Procs to Analyze BRFSS Data: Introduction (with computer exercises) |
| 8 AM Noon | Logistic Regression Modeling in Epidemiologic Research: Part 1 |
| 8 AM Noon | Communicating Health Risk Factor Data: Who is Listening? |
| 1 PM 5 PM | Using SAS Procs to Analyze BRFSS Data: Intermediate (with computer exercises) |
| 1 PM 5 PM | Logistic Regression Modeling in Epidemiologic Research: Part 2 |
| 1 PM 5 PM | Ci3 WinCATI Training: Introduction |
| Sunday, March 25, 2007 | |
| 8 AM Noon | Comparison of SAS and SUDAAN for BRFSS Descriptive Analyses |
| 8 AM Noon | Bias and Its Control in Epidemiologic Research |
| 8 AM Noon | Advanced CATI User Meeting |
| 8 AM Noon | Using SAS/Graph to Create US and State Level Plots |
| 1 PM 3 PM | Use of existing BRFSS Mental Health and Burden Data for State-level Planning, Resource Allocation, and Evaluation |
| 1 PM 3 PM | Intersection of Seasonal and Avian Influenza: Do all roads lead to a pandemic? |
| 1 PM 5 PM | Comparison of SAS and SUDAAN for BRFSS Standardized Rates and Modeling Analyses |
| 3 PM 5 PM | Analyzing and Interpreting Data from the Depression and Anxiety Module with an Emphasis on the Patient Health Questionnaire 8 (PHQ-8) |
Saturday, March 24, 2007
8 AM Noon
Using SAS Procs to Analyze BRFSS Data: Introduction (with computer exercises)
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA
Cost: $150
Course Description:
Course goals include the following:
Specific analytical methods include the following:
Examples use typical descriptive analyses conducted with BRFSS data. Lab exercises will give participants the opportunity to analyze BRFSS datasets using SURVEYMEANS and SURVEYFREQ. The SUDAAN PROCS DESCRIPT and CROSSTAB and RATIO are compared to the SAS PROCS SURVEYMEANS and SURVEYFREQ.
Prerequisites:
Basic statistical or epidemiological methods. Experience using SAS for data
management and statistical analysis is recommended. No experience with
survey data analysis is necessary.
Saturday, March 24, 2007
8 AM Noon
Part I: Logistic Regression Modeling in Epidemiologic Research
Instructor: David Kleinbaum, Ph.D., Professor, Department of Epidemiology, Rollins School of Public Health at Emory University
Cost: $150 (or $250 for both Part 1 and Part 2)
Course Description:
This course considers the basic assumptions and methods of logistic
regression modeling techniques as relevant for epidemiologic research.
Logistic modeling is appropriate for binary outcomes that are typically
considered in epidemiologic studies. The mathematical form of the logistic
regression model 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.
Prerequisites:
This course is intended for epidemiologists and
statisticians who are familiar with hypothesis testing, confidence
intervals, basic epidemiologic study designs, measures of association,
stratified analysis, interaction, and confounding.
Saturday, March 24, 2007
8 AM Noon
Communicating Health Risk Factor Data: Who is Listening?
Instructor: Ellen Jones, MS, CHES, Project Coordinator, National Association of Chronic Disease Directors
Cost: $150
Purpose:
This workshop is designed to increase the integration
of health communication skills into the practice of BRFSS Coordinators,
state practitioners and CDC staff.
Course Description:
This workshop will provide participants with a framework for communicating
risk factor data to internal partners, external partners, and state/local
policymakers. Participants will discuss the leadership role that BRFSS
Coordinators and colleagues play in translating research and data into
public health programs and policies. An introduction to health communication
will provide a foundation for identifying ways to improve communication
within state health agencies, with partners and with decision leaders.
Participants will learn about social marketing strategies that have been
evaluated. Emerging research related to closing the gap between information
and state health policy will be discussed. Individual and group exercises
will engage participants in hands-on learning that may be applied
immediately in risk factor communication.
Saturday, March 18, 2006
1 PM 5
PM
Using SAS Procs to Analyze BRFSS Data: Intermediate (with computer exercises)
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA
Cost: $150
Course Description:
In this course, participants will
Examples use typical analyses conducted with BRFSS data. Lab exercises will give participants the opportunity to analyze BRFSS datasets using SURVEYMEANS, SURVEYREG, and SURVEYLOGISTIC.
Prerequisites:
Experience analyzing BRFSS survey data with either SUDAAN or SAS survey
procs. Experience using SAS for data management and statistical analysis.
Experience analyzing data using linear regression and logistic regression.
Understanding of linear contrasts will be useful.
Saturday, March 24, 2007
1 PM 5
PM
Part 2: Logistic Regression Modeling in Epidemiologic Research
Instructor: David Kleinbaum, Ph.D., Professor, Department of Epidemiology, Rollins School of Public Health at Emory University
Cost: $150 (or $250 for both Part 1 and Part 2)
Course Description:
This course considers the basic assumptions and methods of logistic
regression modeling techniques as relevant for epidemiologic research.
Logistic modeling is appropriate for binary outcomes that are typically
considered in epidemiologic studies. The mathematical form of the logistic
regression model 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.
Prerequisites:
This course is intended for epidemiologists and statisticians who are
familiar with hypothesis testing, confidence intervals, basic epidemiologic
study designs, measures of association, stratified analysis, interaction,
and confounding.
Saturday, March 24, 2007
1 PM 5
PM
Ci3 WinCATI Training: Introduction
Instructors: Claude Q. Comeau, President, Comeau Associates; William Garvin, Computer Specialist, Behavioral Surveillance Branch, Centers for Disease Control and Prevention
Cost: $0
Course Description:
This session will provide a general
overview of the WinCATI setup process, sample reports and standard sample
management techniques. Emphasis will be given to WinCATI setup and some of
the options to consider when managing samples. Examples of common reports
and searches done by skilled states will be provided along with the reason
for them. A brief overview of the End-of-Month processing will be presented.
Each participant should bring their WinCATI setup and report questions to
this session. The following topics will be covered during the course:
The session will include an open question and answer period.
Prerequisites:
None
Sunday, March 25, 2007
8 AM Noon
Comparison of SAS and SUDAAN for BRFSS Descriptive Analyses
Instructor: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA
Cost: $150
Course Description:
SAS Release 9 offers several PROCS for analysis of sample survey data, making it a possible alternative to SUDAAN for BRFSS data analyses. In this course the descriptive analytical capabilities of each software package are compared using the following:
The SUDAAN PROCS DESCRIPT and CROSSTAB and RATIO are compared to the SAS PROCS SURVEYMEANS and SURVEYFREQ. All examples use BRFSS data. After the course participants should be able to decide whether they wish to use SUDAAN or SAS for the BRFSS descriptive analyses they usually conduct.
Prerequisites:
Experience with descriptive analyses of BRFSS survey data using SUDAAN or
SAS. Basic statistical or epidemiological methods.
Sunday, March 25, 2007
8 AM Noon
Bias and Its Control in Epidemiologic Research
Instructor: David G. Kleinbaum, Professor, Department of Epidemiology Rollins School of Public Health at Emory University
Cost: $150
Course Description:
This is a second-level epidemiology course that emphasizes the underlying
concepts and methods for addressing validity and bias issues in
epidemiologic research. Topics covered in the course include the following:
Recommended References: DG Kleinbaum, ActivEpi, Version 1.1 and its accompanying ActivEpi Companion Text (by Kleinbaum, Sullivan, and Barker), Springer Publishers, 2003.
Prerequisites:
Course participants should have some previous training or experience in
epidemiologic research, in particular, having some knowledge about
epidemiologic study designs and measures of frequency and effect.
Participants should also have some previous training in basic biostatistical
principles and methods, including knowledge about hypothesis testing and
confidence interval estimation and the analysis of 2x2 tables. The
mathematics level is basic algebra.
Sunday, March 25, 2007
8 AM Noon
Advanced CATI User Meeting
Instructors: Claude Q. Comeau, President, Comeau Associates; William Garvin, Computer Specialist, Behavioral Surveillance Branch, Centers for Disease Control and Prevention
Cost: $0
Course Description:
This session is designed to provide an forum for BRFSS State Coordinators
and contractors to discuss, share experiences and lessons learned, make
suggestions, and share advice about CATI data collection issues. General
CATI issues will be addressed. This session is for all BRFSS CATI users.
Each participant should bring a list of relevant questions and examples to
this session. It is anticipated that the following topics will be discussed:
The session will include allocated time for question and answer.
Prerequisites:
None
Sunday, March 25, 2007
8 AM Noon
Using SAS/Graph to Create US and State Level Plots
Instructors: William Bartoli, M.S., Computer Programmer, Northrop Grumman contractor supporting the Behavioral Surveillance Branch, Centers for Disease Control and Prevention; and David Gilbertz, MSc., Computer Programmer, Northrop Grumman contractor supporting the Behavioral Surveillance Branch, Centers for Disease Control and Prevention
Cost: $50
Instruction Level: Intermediate
Course Description:
This class will present the basic SAS/Graph tools necessary to create US and
state plots of state and county-level data. The attendee should expect to
obtain a basic working knowledge of the SAS GMAP procedure as well as the
necessary statements, color schemes and options required for producing GIS
type output. The session will ultimately present a set of SAS macros which
will allow users to generate US and state plots by simply supplying the
necessary options without the need to write their own SAS/Graph code. Other
topics to be covered will include
The later part of the presentation will be a workshop. Computers will be provided and attendees are encouraged to bring their own data to use in trying out the tools presented.
Prerequisites:
This workshop assumes ability to program effectively in SAS language. Familiarity with the SAS/Graph product as well as the SAS Macro Language would be helpful but not required.
Sunday, March 25, 2007
1 PM 3
PM
Use of existing BRFSS Mental Health and Burden Data for State-level Planning, Resource Allocation, and Evaluation
Instructors: David G, Moriarty, BSEE, Program Analyst; Matthew M. Zack, MD, MPH, Medical Epidemiologist; Rosemarie Kobau, MPH, Public Health Analyst Arthritis, Epilepsy, and Quality of Life Branch, Centers for Disease Control and Prevention
Cost: No fee
Course Description:
The National Center for Chronic Disease
Prevention and Health Promotion (NCCDPHP) of the Centers for Disease Control
and Prevention (CDC) supports the continuous collection and analysis of
perceived physical and mental health and burden of illness 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
state-based tracking of U.S. adults' perceived mental health, frequent
mental distress (FMD), and health-related quality of life (HRQOL), since
1993 in the Behavioral Risk Factor Surveillance System (BRFSS) with a
standard validated set of "Healthy Days" HRQOL measures. This surveillance
system has been used to help states identify unmet health needs and
disparities, assess the burden of chronic illnesses and disabilities, track
trends, and guide resource allocation. The analysis and use of the Healthy
Days measures and data as related to mental health and illness will be
highlighted. The course will provide public health and mental health
decision makers and epidemiologists with practical knowledge, tools, and
analytical skills that will enable them to use existing BRFSS HRQOL and
burden of disease data in planning, decision making, evaluation, and
prevention research. A brief overview of the new 2007 Mental Illness and
Stigma BRFSS Optional Module, developed in collaboration with the Substance
Abuse and Mental Health Services Administration (SAMHSA), will also be
presented. The course format will consist of presentations, a demonstration
of how to access the public domain data, and an opportunity for participant
discussion on the use of these BRFSS data in public health and mental health
programs. Each participant will receive a CD-ROM of course-related public
domain data and course-related documentation, references, and resources.
(See www.cdc.gov/hrqol for additional background on this surveillance).
Prerequisites:
None
Sunday, March 25, 2007
1 PM 3
PM
Intersection of Seasonal and Avian Influenza: Do all roads lead to a pandemic?
Instructors: Laurie Kamimoto, Influenza Division, CDC
Cost: $0
Course Description:
This introductory didactic course will
describe influenza illness, transmission, burden of disease, and prevention
and treatment of influenza illness. The unusual virologic characteristics of
influenza which makes it difficult to predict and prevent will be discussed
in the context of avian influenza and the potential for emergence of
pandemic influenza. For the last year, the United States has been involved in
pandemic planning exercises. From a federal perspective, global, national,
state and individual strategies for slowing the spread of pandemic influenza
will be highlighted. Also, the current role of BRFSS during seasonal
influenza and a potential role during a pandemic will be explored.
Prerequisites:
None
Sunday, March 25, 2007
1 PM 5
PM
Comparison of SAS and SUDAAN for BRFSS Standardized Rates and Modeling
Analyses
Instructors: Donna Brogan, Ph.D., Professor of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA
Cost: $150
Course Description:
SAS Release 9 offers several PROCS for
analysis of sample survey data, making it a possible alternative to SUDAAN
for BRFSS data analyses. In this course the advanced descriptive analytical
capabilities and the modeling capabilities of each software package are
compared using the following:
SUDAAN DESCRIPT has several analytical options not available directly in SAS: standardized rates (STDVAR & STDWGT), comparison of domains on means or proportions (CONTRAST, PAIRWISE, DIFFVAR), and trend over the levels of some variable, e.g. time (POLYNOMIAL). However, it will be shown that these analyses can be conducted in SAS SURVEYREG using appropriate syntax. The SUDAAN PROCS LOGISTIC and REGRESS are compared to the SAS PROCS SURVEYLOGISTIC and SURVEYREG for conducting logistic regression and linear regression. All examples use BRFSS data. After the course participants should be able to decide whether they wish to use SUDAAN or SAS for the types of advanced descriptive and modeling analyses they usually conduct with BRFSS data.
Prerequisites:
This course assumes experience with analysis of BRFSS survey data using
either SUDAAN or SAS. Experience with logistic regression and linear
regression. Basic understanding of linear contrasts would be useful.
Sunday, March 25, 2007
3 PM 5
PM
Analyzing and Interpreting Data from the Depression and Anxiety Module with
an Emphasis on the Patient Health Questionnaire 8 (PHQ-8)
Instructors: Tara W. Strine, MPH, Epidemiologist, CDC
Cost: No fee
Course Description:
The Anxiety and Depression module was
developed from the Patient Health Questionnaire 8 (PHQ-8), with two
additional questions regarding lifetime diagnosis of depression and anxiety.
The module was supported by the Substance Abuse and Mental Health Services
Administration (SAMHSA) and utilized in 41 state/territories in 2006. This
introductory course will provide public health decision makers and
epidemiologist the tools required to use the Anxiety and Depression Module
to estimate the prevalence and correlates of depression at the state and
national levels. The course will include descriptions of the development of
the module, strengths and weaknesses of the module, and how to score the
items to calculate depression and severity of depression.
Prerequisites:
None
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12/11/2008
United States Department of Health and Human Services
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