851402 Instructional course IVD - applied statistics for life sciences (in Eng.)

Art
Übung
Semesterstunden
2
Vortragende/r (Mitwirkende/r)
Organisation
Angeboten im Semester
Wintersemester 2022/23
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

This course will refresh the principles of statistical data analysis.
Topics covered include

1. Scales for variables (categorical, numerical), corresponding distributions,
descriptive statistics
2. Visualization of multivariate data sets
3. Statistical inference – confidence intervals, parametric &
non-parametric tests in the one-, two- and many-sample situations
4. Simple and multiple linear regression and their extensions (categorical predictors,
polynomial regression, interaction terms), model diagnostics, variable selection
5. Logistic regression for binary target variables
6. More advanced methods depending on the needs of course participants

We will deal with examples from the fields of life sciences/biostatistics/biotechnology throughout this course using the statistical environment R.
Inhaltliche Voraussetzungen (erwartete Kenntnisse)

Master degree enabling to enroll in a BOKU PhD program.
Lehrziel

Participants of the course

• recognize the need for a statistical treatment or analysis of their
data analytic problems,
• can translate research questions into statistical hypotheses,
• choose the correct method(s) to solve these problems and know
how to check their assumptions,
• can assess the quality of a fitted model,
• use models to investigate associations between variables or
predict target variables for new inputs,
• perform these steps using the statistical software environment R,
• and are able to present the results in talks and scientific articles.
Noch mehr Informationen zur Lehrveranstaltung, wie Termine oder Informationen zu Prüfungen, usw. finden Sie auf der Lehrveranstaltungsseite in BOKUonline.