Longitudinal Data Preparation and Visualisation for Epidemiological and Social Research
Date:
08/03/2023 - 09/03/2023
Organised by:
University College London
Presenter:
Dr. Giorgio Di Gessa, Dr. Alexandru Cernat, Miss Andrea Aparicio-Castro
Level:
Intermediate (some prior knowledge)
Contact:
Venue: Online
Description:
This online course is for anyone that needs to prepare longitudinal data for analysis. It will cover the main procedures needed from converting raw longitudinal data to cleaned data that can be readily analysed.
The course will have two sessions, one covering data preparation and the other covering data description and visualization. Both will focus on longitudinal data and real-world data. You can take the module either in R or in Stata, each will have its own videos and practical exercises.
This is a UKRI funded project offering rigorous training in longitudinal data science. Please note that this training is NOT available to students due to the UKRI grant rules. Therefore, if you are an undergraduate or postgraduate (including PhD), you are not eligible to attend this training. You will be asked for your company email and job title in order to register.
This event will be open for registration from Wednesday 30th November at 9am.
Cost:
Free
Website and registration:
https://radiance.org.uk/modules/
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis, Data Visualisation, Epidemiological research, social research
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis
Data Visualisation