Module MA4955-KP05

Duration

1 Semester

Turnus of offer

every second year

Credit points

5

Course of studies, specific fields and terms:

• Bachelor CLS 2023, optional subject, mathematics
• Master CLS 2023, optional subject, mathematics
• Bachelor CLS 2016, optional subject, mathematics
• Master CLS 2016, optional subject, mathematics

Classes and lectures:

• Applied Multiple Regression (lecture, 2 SWS)
• Applied Multiple Regression (exercise, 1 SWS)

Workload:

• 20 hours exam preparation
• 85 hours private studies
• 45 hours in-classroom work

Contents of teaching:

• Need and use of multivariable analyses in epidemiological and clinical research
• Types of outcome variables and available multivariable models
• Incorporation of independent variables in the model
• Dealing with the issues of limited sample size and missing data
• Coding and entering the variables in the model
• Assessing the regression coefficient and strength of the model
• Checking the underlying assumptions and improving the fit of the model
• Communicating the results to the publishing house
• R programming for applied regression

Qualification-goals/Competencies:

• The students are able to understand different study designs and multivariable models.
• They are able to understand impact of a variable on an outcome in a multivariable model.
• They are able to understand assumptions underlying the model.
• They are able to design their own multivariable analysis plan.
• They are able to interpret and critically evaluate the published studies.
• They are able to communicate their own study results using the standard available guidelines.
• They are able to program multiple regression analyses in R.

Grading through:

• project work

Requires:

• Generalized Linear Models (MA4962-KP05)
• Biostatistics 2 (MA2600-KP07)

Responsible for this module:

• PD Dr. rer. pol. Reinhard Vonthein

Teacher:

• Institute of Medical Biometry and Statistics
• Louis Macias, Ph.D.

Literature:

• John Fox. 2016 : Applied Regression Analysis 3rd ed. Los Angeles SAGE. ISBN -13: 978-1-4522-0566-3
• Mitchell H. Katz 2011 : Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers 3rd ed. Cambridge University Press. ISBN -13: 978-0-521-14107-9
• Andrew Gelman, Jennifer Hill, Aki Vehtari, 2020 : Regression and Other Stories Cambridge University Press. ISBN – 13:978-1-1391-6187-9
• Werner Vach. 2012 : Regression Models as a Tool in Medical Research Chapman and Hall/CRC. ISBN: 978-1-466-51748-6

Language:

• offered only in English

Notes:

Last Updated:

01.03.2024