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19th Annual BRFSS Conference


Item: Conference 2002
Item: Invitation Letter
Item: Preliminary Agenda
Item: Ci3 CATI Training
Item: Data Quality Workshop
Item: SAS/STATA Training
Item: Info for Exhibitors
Item: Call for Abstracts
Item: Registration Form
Item: Current Conference *
Item: Conference Archive








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Conference 2002

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SAS & STATA Training

Trainer
Donna Brogan, Ph.D.
Emory University
Atlanta, GA
When 
Saturday
March 9, 2002


Statistical Software for Analysis of BRFSS Survey Data

Two analytic courses are being offered on Saturday, March 9, 2002. Both courses are designed to provide public health professionals with data analysis alternatives-specifically, ways to analyze data and obtain accurate results without using SUDAAN. Registration and fee information for the courses can be found on the conference registration form.

Using SAS 8.2 to Analyze BRFSS Data
8:30 to 11:30 AM - March 9, 2002

Two new PROCS in SAS can be used to analyze sample survey data: SURVEYMEANS and SURVEYREG. SURVEYMEANS provides descriptive statistics for continuous and categorical variables and has some of the capabilities of CROSSTAB, DESCRIPT and RATIO in SUDAAN. SURVEYREG performs linear regression and has most of the capabilities of REGRESS in SUDAAN. SAS 8.2 uses Taylor Series linearization as the method of variance estimation.

In this 3-hour course participants will use SURVEYMEANS in SAS 8.2 to perform descriptive analyses with BRFSS data and interpret results. Participants will learn how to

  1. Describe the BRFSS sampling plan to SAS 8.2.

  2. Estimate a population mean (e.g., mean body mass index), with estimated standard error and a 95% confidence interval. Estimate the mean for all adults in the state and for subpopulations (e.g., men/women, different age groups, or different race/ethnic groups).

  3. Estimate a population percentage (e.g., prevalence of a risk factor) or a population total (e.g., number of persons with a risk factor), with estimated standard error and a 95% confidence interval. Estimate the percentage or total for all adults in the state and for subpopulations (e.g., men/women, different age groups, or different race/ethnic groups).

Prerequisites: Some experience in SAS and in analysis and management of BRFSS data.

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Using STATA 8.0 to Analyze BRFSS Data
1:00 to 4:00 PM - March 9, 2002

STATA is a general statistical software package that includes a comprehensive set of procedures (16 total) to analyze sample survey data. Its capabilities for sample survey data analysis are similar to those of SUDAAN. STATA uses Taylor Series linearization as the method of variance estimation.

In this 3-hour course, participants will use svyset, svydes, svymean, svyprop, svytotal, svytab and svylc in STATA 8.0 to analyze BRFSS data and interpret results. Participants will learn how to

  1. Describe the BRFSS sampling plan to STATA 8.0.

  2. Estimate a population mean (e.g., mean body mass index), with estimated standard error and a 95% confidence interval. Estimate the mean for all adults in the state and for subpopulations (e.g., men/women, different age groups, or different race/ethnic groups).

  3. Estimate a population percentage (e.g., prevalence of a risk factor) or a population total (e.g., number of persons with a risk factor), with estimated standard error and a 95% confidence interval. Estimate the percentage or total for all adults in the state and for subpopulations (e.g., men/women, different age groups, or different race/ethnic groups).

  4. Determine whether subpopulations (e.g., men/women or younger/older) differ significantly on a given characteristic (e.g., prevalence of a risk factor or mean body mass index); that is, determine if any two variables are significantly related to each other.

Prerequisite: No STATA experience necessary. Experience in analysis/management of BRFSS data.

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Page last updated: 12/11/2008

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