Inhalt

[ 405FUSCFS2S23 ] SE Fundamentals of scientific research and general skills: Basic Statistics

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS R - Doctoral programme Human Medicine Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Zulassung zum Doktoratsstudium Medical Sciences
Original study plan Doctoral programme Medical Sciences 2025W
Learning Outcomes
Competences
Students can apply basic statistical methods in research, from study design to data analysis. They can design studies, determine sample sizes, and use statistical inference to draw valid conclusions. By the end of the course, they will be able to perform basic data analyses and interpret results to support scientific research.
Skills Knowledge
  • Design a simple study including sample size determination
  • Apply descriptive and exploratory methods for qualitative and quantitative data
  • Understand probability and probability distributions
  • Use basic methods of statistical inference
  • Understand test procedures for two or more groups
  • Understand generalized linear models
  • Study design and sample size determination.
  • Descriptive and exploratory data analysis.
  • Probability and probability distributions.
  • Statistical inference: estimation, confidence intervals, hypothesis testing.
  • Generalized linear models (ANOVA, regression, correlation).
Criteria for evaluation Attendance of 80% is mandatory. It is not possible to achieve a positive grade if requirements concerning attendance cannot be fulfilled. Assessment is continuous. The positive result shall be described as "successful participation", the negative result shall be described as "unsuccessful participation".
Language English
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
405FUSCFUS2S19: SE Fundamentals of scientific research and general skills II (2019W-2023S)
On-site course
Maximum number of participants 20
Assignment procedure Assignment according to priority