This course will provide you with an introduction to—and hands-on experience specifying—multi-level modeling and longitudinal analysis. You will gain an understanding of different types of approaches including:
time varying and invariant predictors
multivariate and multi-population models with different outcomes
missing data, errors in measurement and measurement misclassification
This course is designed to serve the needs of researchers who will analyze and model longitudinal data in population health research.
Define the methodological features of longitudinal data analysis.
Describe fundamental concepts and issues in multi-level modeling.
Identify different analytical approaches to longitudinal data analysis and specify their strengths and limitations.
Use Mplus statistical modeling program to perform longitudinal data analyses in population health research.
Develop and practice longitudinal model specification, estimation, evaluation, and modification skills.
Interpret and evaluate findings in longitudinal population health research.
Knowledge of regression analysis is a requirement for this course.
Although not required, some familiarity with SAS and Mplus software would be helpful.
In order to register for this course, as part of the certificate program or for professional development, you must be admitted to the Population Health Data Analysis program. Please note: in addition to other course fees, new students will be charged a one-time $100 secure ID token fee when registering for their first course.
This course may be available online. Students login to the course and communicate with the instructor and fellow students via the Internet. All assignments and course activities are submitted electronically to the course instructor.
Using mobile devices in online courses
If you are planning on accessing your online courses using a mobile device such as a tablet or a smartphone, please note that not all required course features will be accessible with these devices. To fully function in your online courses, you will need to have access to a computer running Windows or MacOS.
Before course start date or up to six calendar days after the official course start date: 100% refund less a $100 administrative fee.
After course start day (up to 13 calendar days): A 50% refund will be provided.
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