Introduction to SUDAAN - Statistical Software for Analyzing Correlated Data

About this Class

Dear Colleagues,
 
Developed by expert statisticians and programmers, SUDAAN is a software package designed for researchers who work with study data. SUDAAN procedures properly account for correlated observations, clustering, weighting, stratification, and other complex design features—making them ideal for efficiently and accurately analyzing data from surveys and experimental studies.
 
Join us for an introduction to SUDAAN. In this webinar the following will be discussed:
 
1. Correlated Data in Surveys and Experimental Studies
2. Overview of Sample Surveys
           a. Complex Design Features
           b. Clustering and Intracluster Correlation
           c. Weighting
3. Effects of Complex Design Features on Variance
4. Why use SUDAAN? Consequences of Not Fully Accounting for Complex Design
5. Overview of SUDAAN procedures
6. Questions
 
Presenters: Darryl Creel and Taylor Lewis, SUDAAN Software Experts
 
For questions contact Daoud Meerzaman or Kayla Strauss.