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[ 554SIMTVPBK25 ] KV Statistical Design of Trials and Evaluation
Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M2 - Master's programme 2. year (*)Medical Engineering Werner Müller 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Medical Engineering 2025W
Learning Outcomes
Competences
Students have an integrative understanding of statistical procedures that enables them to plan and conduct a clinical study, analyse the results using appropriate methods and interpret the results.
Skills Knowledge
• Planning a study against the background of statistical analysis and finding results. (k1-k5)

• Select suitable statistical tools. (k1-k5)

• Statistically analyse experiments and experimental findings. (k1-k3)

• Interpretation of statistical results. (k1-k5)

• Classical statistical inference (hypothesis tests - confidence intervals)

• Selectivity, quality function (sensitivity - specificity)

• Logit model, independence tests, exact testing

• Planning clinical trials

• Randomisation

• Methods for reducing variability

• Sample and study types

• Treatment effect tests

• Sample size

• Sample quality

Criteria for evaluation Homework exercises and final written exam
Methods Lecture with homework
Language (*)German/english if required
Study material Morris, M. (2010). Design of Experiments: An Introduction Based on Linear Models. Chapman and Hall/CRC.

Proschan, M.A. (2022). Statistical Thinking in Clinical Trials. CRC Press.

Selwyn, M.R. (1996). Principles of Experimental Design for the Life Sciences. CRC Press.

Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
554SIMTVPBK22: KV Statistical Design of Trials and Evaluation (2022W-2025S)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence