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Pharmaceutical Biostatistics
Last Updated: 2026-02-05 15:40:23
Abstract
The course conveys skills necessary to understand, plan, and conduct statistical analyses. This includes a short recapitulation of statistical basics and extends on new statistical methods used and applied in Industry. The student will also apply their knowledge during practical examples using the statistical software R Studio.
Objective
Know the most frequently used statistics of exploratory data analysis (EDA) and be able to derive these from real data. Understand concepts of probability theory and statistics, including point estimation, statistical tests, interval estimation, and sample size calculation. Know how to create important graphical visualizations in R to explore data. Understand, and apply different statistical methods, such as ANOVA, linear regressions, and other pertinent statistical methods within statistical software R. Explain their assumptions, limitations, and diagnostic checks and be able to run the analyses and to conduct diagnostic checks based on real data. Be able to plan, analyze experiments, and be able to interpret results of respective statistical analyses.
Content
Exploratory Data Analysis (EDA) Probability & Statistics ANOVA & linear regression Other statistical methods
Resources
Lecture Notes
pdf presentation will be available prior to course.R scripts will be shared after each course day
Literature
As a preparation for the course, please, review your basic statistic course or use books that were recommended during your basic statistic course (e.g. Stahel, W. 2008, Statistische Datenanalyse, Eine Einführung für Naturwissenschaftler, Springer Vieweg Verlag or other basic text books). It is expected that the student has an understanding of basic statistical concepts.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Pharmaceutical Biostatistics
Permission from lecturers required for all students.
Block course (please consult schedule on the website of the study programme
)
Room HCP E47.2
|
No time listed | 24 h semesterly |