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COURSE DETAIL

NUS 695 Advanced Statistical Techniques
Credit hours: 3 per Semester
Cluster: Research Methodology, 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 2018

Section: NUS 695
Instructor:TBA
Seats:3
Credits: 3 / Semester



SPRING 2016

Section: NUS 695
Instructor:Dr. Yow-wu (Bill) Wu
Seats:3
Credits: 3 / Semester

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SPRING 2017

Section: NGC 695
Instructor:Dr. Bill Wu
Seats:3
Credits: 3 / Semester

Students must meet minimum pre-requisites for course. Must have prior stats background before being allowed to register.



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