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Activities & groups

The Centre for Data and Statistical Science for Health organises a range of activities. Our events and seminars are open to external attendees and non-members. Internal networking groups and internal training are aimed at our Centre members and non-members within LSHTM. Our activities aim to showcase the work of our members, to foster collaboration within and outside of LSHTM, and provide training to those engaging with data and statistical science. 

Events and seminars

Annual large-scale events

Since its launch, the Centre has organised an annual large-scale event, including conferences, which centre around one of our areas of focus. Our large-scale events aim to bring together those who work in the field of health data and biostatistics for discussions and knowledge-sharing. 

Our recent annual events include:

Centre for Data & Statistical Science for Health seminar series

The Centre for Data & Statistical Science for Health seminar series showcases research relating to our focal challenges and themes from DASH members across LSHTM, as well as from external speakers. Currently, we offer two main series:

  • Health Data Interest Group seminars

  • Statistical Methodology seminars

​We welcome external attendees to the majority of our seminars, and the majority can be attended in person at LSHTM or remotely. Please visit our 'Events' website section to keep informed about our upcoming events, and also view recordings of our past seminars in the 'past events' tab.

Internal networking  

R user group

One of the Centre's special interest groups which is dedicated to promoting the use of, and supporting colleagues who work with, R software. The group organises monthly lunchtime seminars with details shared via their mailing list. To get regular updates, subscribe to the R Group mailing list.

Target trial emulation journal club

One of the Centre's special interest groups which meets regularly to discuss and evaluate publications related to target trial emulation methods.

Early Career Researchers (ECR) Section

This section aims to connect Early Career Researchers (ECR) working across the key Centre for Data & Statistical Science for Health centre themes. Our recent work has focused on organising events to highlight research by ECRs in the Centre (ECR Showcase) and facilitate networking (informal tea-socials).

As the Centre grows, we plan to expand the range of events organised, so keep an eye out on our website and the Centre for Data & Statistical Science for Health mailing list for updates.

If you are interested in contributing to this section or have any ideas for future events, please contact John Tazare.
 

Internal training 

R training courses

The Centre for Data & Statistical Science for Health R group has organised a summer lunchtime course for staff on the R software. 

These courses are designed to support the transition to R as the main statistical software used for teaching and research in the School. Specifically, lessons cover the main aspects of the R software and, while they offer a progressive introduction, they can also be attended independently.

Here is an the schedule for the 2026 lessons.

  • Tuesday 8 September (14:00-16:30): Getting started with R
  • Wednesday 9 September (10:30-12:30): Basic data management
  • Monday 14 September (14.00-16.00): Advanced data management with tidyverse in R
  • Tuesday 15 September (14:00-16:00: Graphics in R
  • Thursday 17 September (14:00-16:00): Regression in R

Please register for Centre for Data & Statistical Science for Health membership to receive updates about any future workshops. The course is led by Rebecca Cole.

AI upskilling and literacy

The Centre is committed to the responsible use of artificial intelligence and machine learning technique in health data and statistics research.

Further details of specific Centre for Data & Statistical Science for Health activities in this field will be provided shortly.

Causal inference

The Centre is currently in the process of organising a series of seminars and workshops on the introduction of causal inference for epidemiology and public health.

Further details will be provided shortly. Please register for Centre for Data & Statistical Science for Health membership to ensure you receive such updates.