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.
- September 12th - 16th, 2022
- BMC, Husargatan 3, 751 23 Uppsala
Application & Registration of interest
- Application is now closed.
- If you want to register your interest and get notified next time we offer the course you can fill in this form.
- Application deadline: August 14st, 2022
- Confirmation to accepted students: August 19th, 2022
- Course days: September 12th - 16th, 2022
- Probability theory
- Hypothesis testing and confidence intervals
- Linear regression methods
- Introduction to generalized linear models
- Model evaluation
- Unsupervised learning incl. clustering and dimension reduction methods
- Supervised learning incl. classification
More information can be found in last years course.
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.
- Basic R programming skills
- 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.
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 40h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department.
Course schedule can be found here.
- Olga Dethlefsen «email@example.com»
- Eva Freyhult «firstname.lastname@example.org»
- Bengt Sennblad «email@example.com»
- Payam Emami «firstname.lastname@example.org»
- Mun-Gwan Hong «email@example.com»
- Per Unneberg «firstname.lastname@example.org»
- Julie Lorent «email@example.com»
The syllabus page shows a table-oriented view of course schedule and basics of course grading. You can add any other comments, notes or thoughts you have about the course structure, course policies or anything else.
To add some comments, click the 'Edit' link at the top.