Probability Surveys 1: Design, Descriptive Statistics, and Analysis

Course code: 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.
1 800 EUR

2 178 EUR including VAT

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Starting date: Upon request

Type: Upon request

Course duration: 21 hours

Language: en

Price without VAT: 1 800 EUR


Type Course
Language Price without VAT
Upon request Upon request 21 hours en 1 800 EUR Register
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Target group

Survey statisticians, biostatisticians, epidemiologists, data analysts, and/or social scientists who design, and analyze data from, complex probability surveys

Course structure

Survey Design

  • simple random sampling
  • stratified random sampling
  • probability proportional to size sampling
  • Chromy's minimal replacement sampling
  • two-stage cluster sampling

Estimating Descriptive Statistics

  • expansion (Horvitz-Thompson) estimation
  • regression estimation
  • ratio estimation

Analytical Uses of Survey Data

  • linear regression and ANOVA
  • contingency table analysis
  • binary logistic regression
  • domain analysis
  • model assessment


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.
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