Probability Surveys 1: Design, Descriptive Statistics, and Analysis
SUVPRB : SUV141
This course focuses on designing business and household surveys and analyzing data collected under complex survey designs. The course addresses the SAS procedures POWER, SURVEYSELECT, SURVEYMEANS, SURVEYFREQ, SURVEYREG, SURVEYLOGISTIC, and SURVEYIMPUTE. In addition, the graphing procedures GPLOT, SGPLOT, and SGPANEL are also covered.
Learn How To
- calculate sample sizes using the POWER procedure
- select complex samples using the SURVEYSELECT procedure
- estimate descriptive statistics using the SURVEYMEANS procedure
- estimate frequencies and percentages using the SURVEYFREQ procedure
- fit general linear models using the SURVEYREG procedure
- fit logistic regression models using the SURVEYLOGISTIC procedure
- handle missing value adjustment using SURVEYIMPUTE procedure
- implement balanced repeated replication, Taylor series and jackknife variance estimation
- perform domain analysis
- assess fitted linear/logistic regression models.
Who Should Attend
Survey statisticians, biostatisticians, epidemiologists, data analysts, and/or social scientists who design, and analyze data from, complex probability surveys
Prerequisites
Before attending this course, you should
- be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming 1: Essentials course.
- have a basic understanding of macro variables
- have completed a course in statistics that covers linear regression and logistic regression. You can gain this experience by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression and Statistics 2: ANOVA and Regression courses.
SAS Products Covered
SAS/STAT
Course Outline
Survey Design
- simple random sampling
- stratified random sampling
- probability proportional to size sampling
- Chromy's minimal replacement sampling
- two-stage cluster sampling
- expansion (Horvitz-Thompson) estimation
- regression estimation
- ratio estimation
- linear regression and ANOVA
- contingency table analysis
- binary logistic regression
- domain analysis
- model assessment
Live Class Schedule
Duration: 21 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.