Dear all,
registration is now open for the course "INTRODUCTION TO THE ANALYSIS OF LONGITUDINAL DATA WITH R".
Dates: online, 26th-29th of June
Overview
This course will introduce methods and approaches to analyse longitudinal data, i.e. data which are repeated in time or space (or any other dimensions, for that matter!). Longitudinal data present specific challenges in all aspects of processing and analysis, from visualization to exploratory data analysis, to modelling and validation. The course will outline the main challenges related to dealing with longitudinal data, from classical statistical and machine learning perspectives. Specific areas that will be covered include forecasting (prediction of time-series data), epidemiology and gene-expression experiments.
LEARNING OUTCOMES
At the end of the course the student will have an understanding of:
- how to recognise and treat spatial and temporal dependencies in the data
- the most common methods to analyse data with repeated records
- methods and principles of data forecasting
- specific applications to life-science domains like epidemiology and gene expression experiments
- how to design, analyse and interpret scientific experiments with a time component
