Introduction to biostatistics and machine learning
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 and machine learning 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.
- 16th - 20th, November, 2020
SciLifeLab, Uppsala University, BMC, Husargatan 3, E10:1308
Application & Registration of interest
- Application is now closed
- Sign up here and we will notify you when the application for the next course opens
- Application open: February, 14th, 2020
- Application deadline: September, 14th, 2020
- Confirmation to accepted students: October, 2nd, 2020
- Course days: 16th - 20th, November, 2020
- 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 Networks
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.
- No prior biostatistical knowledge is assumed
- BYOL (bring your own laptop) with R and RStudio installed
- Due to limited space the course can accommodate maximum of 25 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.
- NBIS prioritises academic participants (students, staff, affiliated researchers) in Sweden. We can accept participants from industry and/or outside Sweden if we have seats available and the requirements criteria are met.
- A course fee of 2000 SEK will be invoiced to accepted participants.
- For non-academic participants the fee may vary (VAT)
- The fee includes lunches, coffee and snacks.
- Please note that we cannot invoice individuals.
Travel & accommodation
Unfortunately we do not have resources to financially or logistically support travelling arrangements.
Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate.
Please note that we are not able to provide any formal university credits (högskolepoäng). Many universities, however, recognize the attendance in our courses, and award 1.5 HPs, corresponding to 40 h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department.
- We are following responsible authorities’ and university’s recommendations when organising the course. Especially, to enable keeping the recommend social distance, the course is limited to 20 students and held in a large room, sitting up to 48 people. We will also set-up help desks do be able to help out with coding issues while keeping the recommended distance.
- If we cannot run the course on site, due to change in authorities’ recommendations, we will run the course online, free of charge.