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NUS 695 Advanced Statistical Techniques
Credit hours: 3 per Semester
Cluster: Research Methodology, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods


Course Level: Doctoral Advanced

Course Type: PhD


Course Open to: PhD Students

Institution:University at Buffalo

Pre-requisites: NUS694 (Quantitative Methods for Health Research) and/or a basic statistics course within past 5 years with at least A- grade. Second statistics course preferred. Please note that this is an advanced course.

Course Description: This course focuses on the applications of advanced statistical techniques and interpretations of findings produced by these techniques, taking into consideration the design of the research and the theoretical models to be tested or developed. This course consists of logistic regression, structural equation modeling and hierarchical linear modeling and longitudinal data analysis.


Method of Instruction: Synchronous - Students will access course materials via UBLearns (Blackboard) and attend lecture/discussions via videoconferencing software. Technology specs and suggestions and be found here:

Delivery Platform: UBLearns (blackboard) Synchronous

Campus visits required: None

Course Contact: UB Campus Staff Coordinator: Louiza Case



Tuition: NEXus Tuition


Other considerations: Monday 9:00am-11:50am EST


Available Seats by Semester for this course:



Section: NUS 695
Instructor: Dr. Wu
Seats: 3
Credits: 3 / Semester
Start Date: 01-28-19
End Date: 05-10-19

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Funding to develop this project was provided in part by the U.S. Department of Education's Fund for the Improvement of Postsecondary Education
and the Alfred P. Sloan Foundation.
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