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.