Probability Surveys 1: Design, Descriptive Statistics, and Analysis
Duration: 21 hours
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.
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