Course syllabus
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.
Next course
- October 4th - 8th, 2021
- Online
Application & Registration of interest
- Application is now closed
- Sign up here and we will notify you when the application for the next course opens
Important dates
- Application deadline: August 21st, 2021
- Confirmation to accepted students: September 1st, 2021
- Course days: October 4th - 8th, 2021
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
More information can be found in last years course.
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
- No prior biostatistical knowledge is assumed
- BYOL (bring your own laptop) with R and RStudio installed
Selection criteria
- 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.
Fees
This online training event has no fee. However, if you confirm your participation but do not do show (no-show) you will be invoiced 2000 SEK. Please note that NBIS cannot invoice individuals.
Course credits
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Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate.
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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.
Schedule
Course schedule can be found here.
Teaching team
Core
- Olga Dethlefsen «olga.dethlefsen@nbis.se»
- Eva Freyhult «eva.freyhult@nbis.se»
- Bengt Sennblad «bengt.sennblad@scilifelab.se»
- Payam Emami «payam.emami@nbis.se»
Teaching Assistants
- Mun-Gwan Hong «mungwan.hong@nbis.se»
- Per Unneberg «per.unneberg@scilifelab.se»
- Julie Lorent «julie.lorent@nbis.se»
- Vincent van Hoef «vincent.vanhoef@nbis.se»
