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10537-01 - Lecture: Statistical Methods I: Understanding Statistics with R 5 CP

Semester fall semester 2018
Course frequency Every fall sem.
Lecturers Michael Simon (m.simon@unibas.ch, Assessor)
Content Statistics is ubiquitous in medical and nursing research. Clinicians and nurse researchers need to understand basic statistical concepts, be able to interpret statistical results and conduct basic statistical analyses themselves. The course "Understanding statistics with R (1)" is the first part of a series of three courses to use the statistical programming language R to learn statistics.
The course will provide students the basis to understand and apply basic statistical techniques in the context of nursing research.
With the successful completion of the course students will be able to:
1. Understand basic concepts of statistics
2. Analyse quantitative data and apply fundamental statistical techniques
3. Understand basic statistical reporting in research papers
4. Apply principles of reproducible research
Learning objectives - A lecture-seminar-exercise format will be used, with 30-60 minute lectures, 60 minute seminars and 60 minute exercises.
- Introduction to fundamental concepts of statistics such as significance, p values, power or randomisation are explored with examples from health and nursing sciences.
- Introduction to common statistical approaches such as parametric, non-parametric tests, correlation and regression.
- Introduction to and application of principles of reproducible research.
- Practical training in R programming and basic analytical techniques.
Bibliography Fakultative Bücher:
- Crawley, Michael J. Statistics. John Wiley & Sons, 2015.
- Maindonald, John, and John Braun. Data analysis and graphics using R: an example- based approach. Cambridge University Press, 2010.
We do not recommend any specific books at this stage, however if you like to have a book, the two mentioned above are good options.

Weitere Kursliteratur zur Vorbereitung auf die Vorlesungen wird bei Bedarf auf ADAM bereitgestellt.

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Comments Unterrichtssprache: Deutsch und Englisch
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Weitere Dozierende/Assistierende: Sarah Musy, Narayan Sharma

 

Admission requirements Nur für Studierende aus dem Studiengang Pflegewissenschaft
Course application bitte in MOnA belegen
Language of instruction English
Weblink ADAM
Use of digital media Online, mandatory

 

Interval weekly
Date 24.09.2018 – 17.12.2018
Time Monday, 09.15-12.00 Kollegienhaus, Hörsaal 120
Date Time Room
Monday 24.09.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 01.10.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 08.10.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 15.10.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 22.10.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 29.10.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 05.11.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 12.11.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 19.11.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 26.11.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 03.12.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 10.12.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Monday 17.12.2018 09.15-12.00 Kollegienhaus, Hörsaal 120
Modules Modul Grundkenntnisse der quantitativen und qualitativen Forschung (Master Nursing)
Module: Mathematics (Master's Studies: Biomedical Engineering)
Assessment format proof of course participation
Assessment details Written exam (100%)
Assessment registration/deregistration Registration: course registration: deregistration: institute
Repeat examination one repetition, best attempt counts
Scale 1-6 0,5
Repeated registration one repetition
Responsible faculty Faculty of Medicine
Offered by Institut für Pflegewissenschaft

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