[SIB-courses] Advanced Statistics: Statistical Modelling, 22 - 25 August 2022, Lausanne

[Monique Zahn]

Dear All,

We are pleased to announce that the following SIB course:

Advanced Statistics: Statistical Modelling<https://www.sib.swiss/training/course/20220822_ASSM>

which will only take place in person in Lausanne on 22 - 25 August 2022 is now open for applications.

While the statistical models and tools presented in an introductory statistics course (such as linear regression) can be used to answer a wide range of questions in life sciences, many types of data cannot be analyzed using these simple approaches. During this 4-day course, we will discuss statistical models and techniques beyond classical linear modelling. Following a brief review of the basics of linear regression, we will dive into more advanced topics, such as generalized and mixed-effects linear models. We will further discuss the application of mixed-effects linear models in analyzing longitudinal data. Finally, in an attempt to move beyond linearity, we will explore extensions of linear models, such as polynomial regression, splines, local regression, and generalized additive models. Throughout the course, the emphasis will be put on concrete applications in clinical and biological data analysis using real world examples.

This course is intended for life scientists who already use the R programming language and have some basic knowledge of statistics (including statistical tests, correlation, and linear models).

Further detailed information, prerequisites and application form are available here<https://www.sib.swiss/training/course/20220822_ASSM>.

Should you have any questions, please don't hesitate to contact us at training at sib.swiss<mailto:training at sib.swiss>.

Have a very good weekend,

Monique

--
Monique Zahn, PhD
SIB Training
SIB | Swiss Institute of Bioinformatics
Quartier Sorge, Bâtiment Amphipôle - 1015 Lausanne - Switzerland
monique.zahn at sib.swiss<mailto:monique.zahn at sib.swiss> - www.sib.swiss<http://www.sib.swiss>

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