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Module guide WS 2018-2022

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 field and terms:
  • Bachelor CLS 2023 (compulsory), mathematics, 2nd semester
  • Bachelor Nutritional Medicine 2024 (compulsory), mathematics / natural sciences, 4th semester
  • Bachelor MES 2014 (optional subject), mathematics / natural sciences, 3rd semester at the earliest
  • Bachelor Computer Science 2019 (optional subject), Extended optional subjects, Arbitrary semester
  • Bachelor Computer Science 2019 (compulsory), Canonical Specialization Bioinformatics and Systems Biology, 6th semester
  • Bachelor Medical Informatics 2019 (compulsory), medical computer science, 6th semester
  • Bachelor MLS 2018 (compulsory), life sciences, 6th semester
  • Bachelor Nutritional Medicine 2018 (compulsory), mathematics / computer science, 6th semester
  • Bachelor CLS 2016 (compulsory), mathematics, 2nd semester
  • Bachelor CLS 2010 (compulsory), mathematics, 2nd semester
  • Bachelor Computer Science 2016 (optional subject), advanced curriculum, Arbitrary semester
  • Bachelor Computer Science 2016 (compulsory), Canonical Specialization Bioinformatics, 4th semester
  • Bachelor MLS 2016 (compulsory), life sciences, 6th semester
  • Bachelor Biophysics 2016 (compulsory), Elective Computer Science, 4th semester
  • Bachelor Nutritional Medicine 2016 (compulsory), mathematics / computer science, 6th semester
  • Bachelor Medical Informatics 2014 (compulsory), medical computer science, 4th semester
  • Bachelor Computer Science 2014 (compulsory), specialization field bioinformatics, 6th semester
  • Master MES 2011 (advanced curriculum), biophysics and biomedical optics, 2nd semester
  • Bachelor Medical Informatics 2011 (compulsory), medical computer science, 4th semester
  • Master Computer Science 2012 (optional subject), specialization field bioinformatics, 2nd or 3rd semester
  • Master Computer Science 2012 (compulsory), advanced curriculum stochastics, 2nd semester
  • Bachelor Computer Science 2012 (optional subject), specialization field bioinformatics, 6th semester
  • Bachelor MLS 2009 (compulsory), life sciences, 6th semester
  • Bachelor MES 2011 (optional subject), medical engineering science, 6th semester
  • Bachelor Molecular Life Science 2024 (compulsory), mathematics / computer science, 4th semester
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
Is requisite for:
Responsible for this module:
  • Prof. Dr. rer. biol. hum. Inke König
Teachers:
  • 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

Letzte Änderung:
28.1.2022