Our preprint is now out! 📄 We looked at whether five flexible IPTW / propensity score weighting approaches can be used for count exposures, and whether they can be combined with multiple imputation. We also illustrate the methods using BCS70 data. Link: doi.org/10.48550/arXiv.2603.23726

Adjusting for confounding in population administrative data when confounders are only measured in a linked cohort | International Journal of Population Data Science IntroductionAnalyses of population administrative data can often only be minimally adjusted due to a lack of control variables, potentially leading to bias due to residual confounding.

📢 Researchers at @ucl.ac.uk propose new approach to improve quality of population data research by looking at data linked from the Millennium Cohort Study to the UK National Pupil Database (NPD).

Read the full paper on the @ijpds.bsky.social journal website 👉 buff.ly/HJLkFkg

New research in the International Journal of Population Data Science introduces a novel way to better address confounding in population administrative data By supplementing admin data with cohort study information, researchers can improve estimates and reduce bias READ: https://ijpds.org/news/06-03-26-confounding Read the full open access article here: https://ijpds.org/article/view/3015

New research in the International Journal of Population Data Science introduces a novel way to better address confounding in population administrative data

By supplementing admin data with cohort study information, researchers can improve estimates and reduce bias

READ: ijpds.org/news/06-03-2...

Training course: Causal Inference Using Cohort Data The aim of this three-day in person short course is to teach methods of causal inference with an emphasis on application. In our experience, many causal inference courses focus on specific methods wh

👉We are running a 3-day in-person course

"Causal Inference Using Cohort Data"

Dates: 20-22 Apr 2026

Presenters: Dr M Katsoulis (Associate Professor in Biomedical Statistics) & Dr L Wright (Lecturer in Statistics and Survey Methodology)

check here for more details www.ncrm.ac.uk/training/sho...

How can the use of different modes of survey data collection introduce bias? An introduction to mode effects using directed acyclic graphs (DAGs) Abstract. Survey data are self-reported data collected directly from respondents by a questionnaire or an interview and are commonly used in epidemiology.

Users of survey data, lovers of DAGs, and general methodological enthusiasts, gather round!

I'm so excited to share this new paper, joint work with my brilliant colleagues @rjsilverwood.bsky.social, @pwgtennant.bsky.social, and Liam Wright.

🧵

Why should you attend our next free training webinar? Getting started: An introduction to four British cohort studies Thursday, 27 November 2025, 12:30-2pm UK time

We are the UCL Centre for Longitudinal Studies (CLS). Our studies follow multiple generations across the whole of their lives. If you are researching the lives of people in the UK, born between 1958 and 2002, then our free-to-access resources may be a good match!

Our 'Getting started' webinar introduces the wide range of data available including: family, education measures, mental health, economic status. Most of our data can be accessed easily from the UK Data Service.

Evidence from our studies has helped influence policy and improve lives. You will regularly see our studies in the media and influential research papers. Whatever your experience level, attend the webinar and start your journey using our longitudinal data. Book now on the CLS website.

It's not long until our showpiece webinar Getting started: An introduction to four British cohort studies on Thursday, 27 November. Let's unpack why you shouldn't miss it!👇
Book now on the CLS website: buff.ly/5lEsBVp

An image of a senior lady with two adult daughters in front of an apartment building. Getting started: An introduction to four British cohort studies Webinar: Thursday, 27 November 2025 12:30 - 2pm UK time Centre for Longitudinal Studies

📣 Coming soon: this flagship @clscohorts.bsky.social webinar is the best place to get started with using our unique series of UK national cohort studies. Register now 👉 buff.ly/r4ZefJC

This event is suitable for anyone with an interest in survey mode effects and their handling, including survey methodologists, survey practitioners, and analysts of mixed-mode survey data across all disciplines.

3. A systematic review of the experimental literature on mode effects (@georgiatomova.bsky.social a, UCL)

4. Adaptive mixed-mode survey design (Barry Schouten, Statistics Netherlands)

Presentations:

1. Viewing survey mode effects through the lens of causal directed acyclic graphs (@rjsilverwood.bsky.social , UCL)

2. Methods for handling survey mode effects (Liam Wright, UCL)

Surveys are increasingly adopting mixed-mode designs (e.g. face-to-face, telephone, web, video). Due to differences in how items are presented, responses can differ systematically between modes (“mode effects”). Unaccounted for, mode effects can introduce bias in analyses of mixed-mode survey data.

We are organising a @royalstatsoc.bsky.social Social Statistics Section online event:

Handling survey mode effects

Wednesday 12 November 2025, 10.00AM - 12.10PM

Full info and booking: rss.org.uk/training-eve...

Photo of three babies lying on the carpet

Graphic describing some of the key features of the study: 30,000 babies will take part, it is the first new UK-wide birth cohort study in 25 years, babies will be age 9-11 months at the first survey, and 3-4 years at the second survey.

Graphic showing sample sizes in the four UK countries: 16,300 babies in England, 5,000 babies in Scotland, 4,500 babies in Wales, and 4,200 babies in Northern Ireland.

Graphic describing some of the elements of the study. This includes boosts for ethnic minority and low income families, interviews with fathers as well as mothers, consent to linkage to administrative data.

We're excited to announce CLS will lead the first new nationally representative UK-wide birth cohort study in 25 years. Generation New Era will follow the lives of more than 30,000 babies born in 2026, during their early years, and potentially beyond. Read more: bit.ly/4gfttBP

Why we're supporting #ADRUKConf25 and looking forward to a really interesting conference in September 👇

Job Opportunity at LSHTM: Research Fellow The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working i...

We are recruiting a Research Fellow to develop machine learning based methods for handling missing data @lshtm.bsky.social. See jobs.lshtm.ac.uk/vacancy.aspx... for more details.

(With apologies to all my wonderful colleagues and collaborators, inspiring fellow speakers and heroic conference organisers who were overlooked in my sole ESRA post in favour of a weak Olivia Rodrigo/architecture joke.)

It's brutal out here. #ESRA25

Associations between different measures of SARS-CoV-2 infection status and subsequent economic inactivity: A pooled analysis of five longitudinal surveys linked to healthcare records Introduction Following the acute phase of the COVID-19 pandemic, a record number of people became economically inactive in the UK. We investigated the association between coronavirus infection and sub...

"New" Paper : Associations between different measures of SARS-CoV-2 infection status and subsequent economic inactivity: A pooled analysis of five longitudinal surveys linked to healthcare records.
doi.org/10.1371/jour...
Using @ukllc.bsky.social data

Ever wondered about how the way a survey item is presented to participants might bias the responses?

On February 27th, the Centre for Longitudinal Studies @clscohorts.bsky.social is hosting a fascinating seminar on “mode effects”. Learn more and register here:

cls.ucl.ac.uk/events/handl...

🚨New webinar! Join @rjsilverwood.bsky.social and Dr Liam Wright on Thursday, 27 February to learn about mode effects in the UK cohort studies and discover methods for handling them. Sign up now: https://buff.ly/41A9Cbe