Module MA1600-KP04, MA1600, MA1600-MML
Biostatistics 1 (BioStat1)
Duration
1 Semester
Turnus of offer
each summer semester
Credit points
4
Course of studies, specific fields and terms:
- Bachelor CLS 2023, compulsory, mathematics
- Bachelor Nutritional Medicine 2024, compulsory, mathematics / natural sciences
- Bachelor MES 2014, optional subject, mathematics / natural sciences
- Bachelor Computer Science 2019, optional subject, Extended optional subjects
- Bachelor Computer Science 2019, compulsory, Canonical Specialization Bioinformatics and Systems Biology
- Bachelor Medical Informatics 2019, compulsory, medical computer science
- Bachelor MLS 2018, compulsory, life sciences
- Bachelor Nutritional Medicine 2018, compulsory, mathematics / computer science
- Bachelor CLS 2016, compulsory, mathematics
- Bachelor CLS 2010, compulsory, mathematics
- Bachelor Computer Science 2016, optional subject, advanced curriculum
- Bachelor Computer Science 2016, compulsory, Canonical Specialization Bioinformatics
- Bachelor MLS 2016, compulsory, life sciences
- Bachelor Biophysics 2016, compulsory, Elective Computer Science
- Bachelor Nutritional Medicine 2016, compulsory, mathematics / computer science
- Bachelor Medical Informatics 2014, compulsory, medical computer science
- Bachelor Computer Science 2014, compulsory, specialization field bioinformatics
- Master MES 2011, advanced curriculum, biophysics and biomedical optics
- Bachelor Medical Informatics 2011, compulsory, medical computer science
- Master Computer Science 2012, optional subject, specialization field bioinformatics
- Master Computer Science 2012, compulsory, advanced curriculum stochastics
- Bachelor Computer Science 2012, optional subject, specialization field bioinformatics
- Bachelor MLS 2009, compulsory, life sciences
- Bachelor MES 2011, optional subject, medical engineering science
- Bachelor Molecular Life Science 2024, compulsory, mathematics / computer science
Classes and lectures:
- Biostatistics 1 (lecture, 2 SWS)
- Biostatistics 1 (exercise, 1 SWS)
Workload:
- 15 hours exam preparation
- 66 hours private studies
- 39 hours in-classroom work
Contents of teaching:
- Descriptive statistics
- Probability theory, including random variables, density, and cumulative distribution function
- Normal distribution, other distributions
- Diagnostic tests, reference range, normal range, coefficient of variation
- Statistical testing
- Sample size calculations
- Confidence intervals
- Selected statistical tests I
- Selected statistical tests II
- Linear simple regression
- Analysis of variance (one-way-classification)
- Clinical trials
- Multiple Testing: Bonferroni, Bonferroni-Holm, Bonferroni-Holm-Shaffer, Wiens, hierarchical Testing
Qualification-goals/Competencies:
- With regard to the roles of GSP of the University of Lübeck and of the DFG-guidelines the student were able to work with the following statistical methods: The students are able to calculate descriptive statistics.
- They are able to calculate quantiles and surfaces of the normal distribution.
- They are able to explain terms of diagnostic testing, such as sensitivity or specificity.
- They are able to list the basic principles of statistical testing, sample size calculation and confidence interval construction.
- They are able to carry out a set of elementary statistical tests, such as t-test, test of proportions, X2 independence test, and to interpret the results.
- They are able to explain the basic principles of linear regression.
- They are able to apply the linear simple regression.
- They are able to explain the basic idea for the one-way analysis of variance (ANOVA).
- They are able to explain the results table for the one-way and two-way ANOVA.
- They are able to interpret the results of the ANOVA.
- They know the basic principles of clinical therapeutic studies.
- They know the assumptions that need to be fulfilled for the application of specific statistical tests.
- They are able to calculate simple adjustments for multiple comparisons.
Grading through:
- written exam
Responsible for this module:
- Prof. Dr. rer. biol. hum. Inke König
Teacher:
- Institute of Medical Biometry and Statistics
- Prof. Dr. rer. biol. hum. Inke König
- MitarbeiterInnen des Instituts
Literature:
- Matthias Rudolf, Wiltrud Kuhlisch : Biostatistik: Eine Einführung für Biowissenschaftler 1. Auflage, Pearson: Deutschland
- Lothar Sachs, Jürgen Hedderich : Angewandte Statistik: Methodensammlung mit R 15. Auflage, Springer: Heidelberg
Language:
- offered only in German
Notes:
Prerequisites for attending the module:- None
Prerequisites for the exam:
- Active and regular participation in the exercise groups as specified at the beginning of the semester.
Module exam:
-MA1600-L1: Biostatistics 1, written exam, 90 min, 100 % of module grade
Last Updated:
28.01.2022