COURSE DETAIL
NUS 695 Advanced Statistical Techniques
Credit hours: 3 per Semester
Cluster: Research Methodology, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods
http://gse.buffalo.edu/admissions/course-descriptions
Course Level: Doctoral Advanced
Course Type: PhD
IPE: No
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: http://nursing.buffalo.edu/academics/graduate-program/dnp-program/post-masters-dnp/post-masters-dnp-distance-learning---requirements.html
Delivery Platform: UBLearns (blackboard) Synchronous
Campus visits required: None
Course Contact: UB Campus Staff Coordinator: Louiza Case
email: louizaca@buffalo.edu
Tuition: NEXus Tuition
Other considerations: Monday 9:00am-11:50am EST
Available Seats by Semester for this course:
SPRING 2019
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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