Introduction to biostatistics and machine learning
Due to the COVID-19 situation, this course is postponed to November 2020.
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.
Application open: apply here
Application closes: 2020-09-14
Confirmation to accepted students: 2020-09-18
Responsible teachers: Olga Dethlefsen, Eva Freyhult
- Short introduction to R with R-Studio
- Probability theory
- Hypothesis testing and confidence intervals
- Linear and logistic regression methods
- Model selection
- Unsupervised learning incl. clustering and dimension reduction methods
- Supervised learning incl. classification
- Primer on decision trees and Artificial Neural Network
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. A special focus is put on understanding basic concepts by solving problems with pen and paper.
- No prior biostatistical knowledge is assumed
- BYOL (bring your own laptop) with R and RStudio installed
Due to limited space 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.
A course fee* of 2000 SEK will be invoiced to accepted participants.
The fee includes lunches, coffee and snacks.
*Please note that NBIS cannot invoice individuals