Dear colleagues,

All members of the Centre for Applied Statistics Courses (CASC) would like to wish you a Happy New Year!

 

2018 could be the year that you learn more about Latent Class Analysis (LCA) via our brand new course running for the first time on 22nd January.

 

LCA is a useful approach to identify sub-groups within your data, based on (generally) categorical data. From multiple binary variables for example, using LCA you can reveal common sub-groups in the data that reflect the most frequent patterns, and explore to what extent there is quantitative and qualitative differences within your sample population.

 

Introduction to Latent Class Analysis – 22nd Jan – 10am to 4.30pm

This one day course focuses on understanding the principles of Latent Class Analysis via the concepts and parameters estimated. How to decide on the number of latent classes and interpretation of the model parameters will be discussed.

 

For more details about this course please visit our website.

 

This course benefits from a special first-run discount of 50% on all prices shown on our website.

Costs for non-UCL and UCL attendees are £75 and £37.5, respectively.

 

Do not hesitate to contact us should you have any queries about this course or any of the other courses seen on our website – all enquiries should be sent to [log in to unmask].

 

We look forward to hearing from you.

 

Kind regards,

Eirini

 

 

Eirini Koutoumanou

Senior Teaching Fellow

Population, Policy, Practice, UCL Great Ormond Street Institute of Child Health

30 Guilford Street; London; WC1N 1EH || tel: 020 7905 2611 (ext: 42611) || email: [log in to unmask]

Centre for Applied Statistics Courses (CASC)

Subscribe to our mailing list for future dates, courses and latest news!

Telephone for CASC-general queries: +44 (0) 20 7905 2768

Telephone for CASC-course specific queries: +44 (0) 77 30405 980

Email: [log in to unmask]  
www.ucl.ac.uk/stats-courses  
Please consider the environment before printing this e-mail

 

 

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.