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Viewing: HSCI 3117 : Principles of Biostatistics for Health Sciences

Last approved: Fri, 18 Mar 2016 17:37:59 GMT

Last edit: Tue, 27 Oct 2015 19:41:28 GMT

Catalog Pages referencing this course
School of Medicine and Health Sciences
Health Sciences Programs (HSCI)
HSCI
3117
Principles of Biostatistics for Health Sciences
Biostats for Health Sciences
Spring 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
HSCI 2117 or permission of the instructor
Corequisites

20

Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Biostatistics for health science professionals. Concepts and methods, including confidence intervals, ANOVA, multiple and logistic regression, and non-parametric analyses. Scientific literature is used to provide a comprehensive context in which analytical evidence is employed to support practices in the health sciences.
• Apply biostatistical concepts, including: probability, distribution, confidence intervals, inference, hypothesis testing, P-value and confidence interval. • Apply numerical, tabular, and graphical descriptive techniques to health sciences data. • Conduct appropriate statistical procedures to test null hypotheses. • Appraise statistical results in health science research articles and reports.
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Course Attribute


Key: 10123