This Probability Surveys - Design, Descriptive Statistics, and Analysis training 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.
By attending Probability Surveys - Design, Descriptive Statistics, and Analysis workshop, delegates will learn 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
- Able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming 1: Essentials course
- Basic understanding of macro variables
- Attend a training on ANOVA, Regression, and Logistic Regression and Statistics and ANOVA and Regression or equivalent knowledge
The Probability Surveys - Design, Descriptive Statistics, and Analysis class is ideal for:
- Survey statisticians, biostatisticians, epidemiologists, data analysts, and/or social scientists who design, and analyze data from, complex probability surveys