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

	Starting date	Place	Type	Course duration	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

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.

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