Advanced Statistics: Statistical Modeling

Date 13 - 16 June 2016
Speaker(s) Alix Zollinger, Delphine Grun
Fees *academic: 200 CHF   -   for-profit: 0 CHF
Cancellation deadline 3 Jun 2016
City Lausanne
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.


In classical linear modeling we are assuming that the response variable (Y) is normally distributed, however for certain type of data, like count data or presence/absence data, this is not the case. In this course, we will thus see more advanced statistical models and techniques to provide you the necessary set of tools that will enable you to analyze different types of (biological) data.

The course will be centered on "statistical modeling" applied to biological problems. Topics addressed during this course include advanced linear models, mixed models, generalized linear models, survival analysis. The emphasis will be put on concrete applications in biology.


This course is intended for life scientists who already have some basic knowledge of statistics and the programming language "R".

Learning objectives

At the end of this course, participants are expected to be able to:

  • understand statistical modeling
  • understand the specificities of the different models
  • identify the appropriate model to analyze a dataset
  • fit the desired model using R


Knowledge / competencies:

The course is intended to people already familiar with basic statistics and R. In particular people who have already followed the course "introduction to statistics for biologists". Participants must be comfortable with topics such as hypothesis testing, linear models, regression and must have a prior knowledge of the "R" language and environment for statistical computing and graphics.


Participants must bring a laptop with at least 4 Gb of RAM and the "R" software installed. More information about the packages needed will be provided before the course.


The course is full.

The registration fees for academics are 200 CHF. This includes course content material, coffee breaks, and a social dinner. Participants from non-academic institutions should contact us before application.

Deadline for registration and free-of-charge cancellation is set to June 3, 2016. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available here.

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.


University of Lausanne, Génopode Building, room 2020 (UNIL sorge M1 line stop)

Additional information

Coordination: Diana Marek

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