Longitudinal Data Analysis Using Discrete and Continuous Responses
This course is for scientists and analysts who want to analyze observational data collected over time. It is not for SAS users who have collected data in a complicated experimental design. They should take the Mixed Models Analyses Using SAS course instead.
The self-study e-learning includes:
Who should attendEpidemiologists, social scientists, physical scientists, and business analysts
Before attending this course, you should be able to:
You can gain the programming experience by completing the SAS Programming 2: Data Manipulation Techniques course. You should also be familiar with the MIXED procedure. You can gain this experience by completing the Statistics 2: ANOVA and Regression course.
This course addresses SAS/STAT software.
Longitudinal Data Analysis Concepts
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Longitudinal Data Analysis Using Discrete and Continuous Responses (14.2) (PDF + virtual lab)||21.0 hours||180 days from order date||English||1,980 AUD / 1,980 ETA|