👉Our paper on addressing missing data in the 1970 British Cohort Study (BCS70) has been published in BMC Medical Research Methodology link.springer.com/article/10.1... @rjsilverwood.bsky.social @georgeploubidis.bsky.social @clscohorts.bsky.social Martina Narayanan, Brian Dodgeon 1/8

A data driven approach to address missing data in the 1970 British birth cohort - BMC Medical Research Methodology

BMC Medical Research Methodology - Missing data may induce bias when analysing longitudinal population surveys. We aimed to tackle this problem in the 1970 British Cohort Study (BCS70). We utilised...

link.springer.com

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

📢 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

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.

doi.org

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...

👉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...

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

ncrm.ac.uk

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. 🧵

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.

academic.oup.com

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

📣 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

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...

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 👇

@adr-uk.bsky.social · last yr.

@clscohorts.bsky.social is supporting #ADRUKConf25 as a Silver Sponsor! 🎉 Learn why linking cohort + admin data is vital for impactful research, and why CLS is backing the conference. 👉 www.adruk.org/news-publica...

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.

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...

jobs.lshtm.ac.uk

It's brutal out here. #ESRA25

"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

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...

doi.org

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