Generic schedule for Statistical Methods in Life Sciences

Pre-course: mathematical foundations

Monday

09:00 - 10:00 Welcome

10.15 - 12:00 Probability and distributions

12:00 - 13:00 lunch

13:00 - 16.30 Statistical Inference

16.30 - 17.00 Daily challenge

Tuesday

09:00 - 09.30 Group discussions: recap of the previous day

09:30 - 12.00 Linear regression: model fitting, diagnostics and assumptions

12:00 - 13:00 lunch

13.00 - 16.30 Statistical inference, cont.

16.30 - 17.00 Daily challenge

Wednesday

09:00 - 09.30 Group discussions: recap of the previous day

09:30 - 12:00 Linear regression: multiple numerical and categorical predictors

12:00 - 13:00 lunch

13:00 - 16:30 Multivariate methods: PCA and clustering (Olga / Eva / Payam)

16.30 - 17.00 Daily challenge

Thursday

09:00 - 09.30 Group discussions: recap of the previous day

09.30 - 12.00 Generalized linear models for binary and count data

12:00 - 13:00 lunch

13:00 - 16.30 Mixed effects models

16.30 - 17.00 Daily challenge

Friday

09:00 - 09.30 Group discussions: recap of the previous day

09.30 - 12.00 Survival analysis and time-to-even data

12:00 - 13:00 lunch

13.00 - 15.00 Prediction in life sciences (ML primer)

15.000 - 16.00 Course wrap-up