Intermediate statistics

Date 5 - 6 April 2022
Speaker(s) Rachel Jeitziner Marcone, Isabelle Dupanloup
ECTS 0.5
Fees *academic: 120 CHF   -   for-profit: 600 CHF
Cancellation deadline 20 Mar 2022
City Lausanne
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.


Do you feel unable to statistically analyse data, despite having already followed an introduction course on statistics? If yes, this course was created for you.
The goal of this training is to provide researchers with the practical skills required in order to analyse real biomedical data. This includes:

  • how to explore data
  • how to choose and apply an analysis method (statistical tests in particular)
  • how to manage common issues encountered during data analysis, such as outliers, batch effects, management of biological vs technical replicates
  • how (and when) to evaluate the power of an experiment
  • how to communicate the results

During this two-day training, you will be provided with datasets to analyse in small groups, using information provided by the trainers. The results will then be discussed together. The datasets will be chosen to allow you to cover the most common questions that arise during a statistical analysis, including the assumptions of tests (and the requirement for normality of data in particular), the handling of outliers, missing data.


The course is targeted at researchers who have already followed a basic statistics course (equivalent to our course "Introduction to statistics with R ") and have a working knowledge of the R statistical package (equivalent to either the introduction to statistics course, or to the "First steps with R course"). Fluency in R is absolutely required for this course.

The course is problem-based and requires active participation from everyone.

Learning objectives

At the end of the course, participants will be able to:

  • choose basic statistical methods in order to analyse a dataset
  • take care of common issues arising during a statistical analysis
  • perform a statistical analysis
  • communicate the results of the analysis, both orally and in writing form


Knowledge / competencies:

  • Basic knowledge of statistics (see Audience section), in particular knowledge of what statistical tests are is required
  • Working knowledge of R, including ability to load data into R, select data of interest, plot data, perform basic tests


  • A Wi-Fi enabled laptop with latest R and RStudio.There will be access to the eduroam and guest-unil networks.


Registration fees are 120 CHF for academics and 600 CHF for for-profit companies.

You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.

Applications will close as soon as the places will be filled up. Deadline for free-of-charge cancellation is is set to 20 March 2022. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions, available here.

Venue and time

This course will be held in person at the University of Lausanne (Metro M1 line, Sorge station).

It will start at 9:00 and end around 17:00.

Precise information will be provided to the participants before the course.

Additional information

Coordination: Diana Marek

We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the session).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

Please note that participation in SIB courses is subject to our general conditions.

SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.

For more information, please contact