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Viewing: THS 8125 : Advanced Statistical Methods for Clinical and Translational Research

Last approved: Fri, 18 Nov 2016 09:05:55 GMT

Last edit: Wed, 16 Nov 2016 18:34:33 GMT

Catalog Pages referencing this course
Programs referencing this course
School of Medicine and Health Sciences
Clinical Research and Leadership (CRL)
THS
8125
Advanced Statistical Methods for Clinical and Translational Research
AdvStatistical Methods/CTR
Fall 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade
students in the PhD in translational health sciences degree program in good standing or with instructor's permission
No
No

Corequisites
Completion of graduate-level epidemiology and biostatistics courses
30
Karen Schlumpf, MPH, EdDc
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Advanced data management and analytic techniques required for testing hypotheses in translational health research.
As a result of completing this course, students will be able to:
1. Justify analytic approach for a particular dataset.
2. Accurately prepare data for analysis.
3. Apply statistical tests appropriate to systems level and Clinical Effectiveness Research (CER) questions, including meta-analysis, regression and cost analysis.
4. Interpret output of statistical tests.
5. Disseminate results of a complex nature.
Uploaded a Course Syllabus
This course addresses the unique statistical methods required to conduct clinical and translational research.
Course Attribute


cagw (Wed, 15 Jul 2015 23:23:53 GMT): Added course restriction.
gharris (Fri, 23 Oct 2015 14:03:44 GMT): Rollback: For syllabus review per Catherine Golden's request.
Key: 9997