Introduction to biostatistics and machine learning
September 12 @ 08:00 – September 16 @ 17:00 CEST
National course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical methods. It would also suit those already applying biostatistical methods but have never got a chance to reflect on and truly grasp the basic statistical concepts, such as the commonly misinterpreted p-value.
Important dates
Application open: now
Application closes: 2022-08-14
Confirmation to accepted students: 2022-08-19
Responsible teachers: Olga Dethlefsen, Eva Freyhult
If you do not receive information according to the above dates please contact
edu.ml-biostats@nbis.se, olga.dethlefsen@nbis.se, eva.freyhult@nbis.se
Course content
- Probability theory
- Hypothesis testing and confidence intervals
- Resampling
- Linear regression methods
- Introduction to generalized linear models
- Model evaluation
- Unsupervised learning incl. clustering and dimension reduction methods
- Supervised learning incl. classification
Education
In this course we focus on an active learning approach. The course participants are expected to do some pre-course reading and exercises, corresponding up to 40h studying. The education consists of teaching blocks alternating between mini-lectures, group discussions, live coding sessions etc.
Entry requirements
- Basic R programming skills
- BYOL (bring your own laptop) with R and RStudio installed
- No prior biostatistical knowledge is assumed
The course can accommodate a maximum of 24 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.
Course fee
2000 SEK (includes lunches and coffee)
*Please note that NBIS cannot invoice individuals
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