The Hebrew University Logo
Syllabus LOGISTIC REGRESSION - 98448
עברית
Print
 
PDF version
Last update 18-03-2020
HU Credits: 2

Degree/Cycle: 2nd degree (Master)

Responsible Department: Public Health

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: Ein Karem

Course/Module Coordinator: Mr. Wiessam Abu Ahmad

Coordinator Email: wiessam.huji@gmail.com

Coordinator Office Hours:

Teaching Staff:
Mr. Wiessam Abuahmad,
Ms. Shahera Abu Ramila

Course/Module description:
Please see the Hebrew description

Course/Module aims:
The course will cover topics on Univariable analysis (T-tests, Chi-square tests, correlation coefficients), the functional form of the Linear regression, General linear models (Univariate, Multivariate and Repeated measures), non-parametric tests (when to use them) and the logistic regression model, including checking the model’s assumptions and interpreting the model’s coefficients and results. The course is accompanied by a series of examples using statistical packages. Where the emphasis is on practical application and interpretation rather than theory.

Learning outcomes - On successful completion of this module, students should be able to:
Exploring data: describe the data, compute new variables, assess the shape of the distribution, select a suitable tool for statistical analysis, conduct Univariable and Multivariable statistical analysis, multiple regression models and General linear models (GLM).

Attendance requirements(%):
75%

Teaching arrangement and method of instruction:

Course/Module Content:
Please see the Hebrew description

Required Reading:
1. Rao, P.V. (1998).Statistical research methods in the life sciences. Duxbury Press.
2. Zar, J. (2007). Biostatisticalanalysis (5th ed.). Prentice-Hall, Inc.
3. Gordis, L. (2008). Epidemiology (4th Ed.) Saunders: Philadelphia.

Additional Reading Material:

Course/Module evaluation:
End of year written/oral examination 70 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 30 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %

Additional information:
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
Print