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Andrew Bell

@andrewjdbell.bsky.social
1.2K followers 271 following 12 posts

Professor of Quantitative Social Sciences, University of Sheffield. Multilevel models, age period cohort, Intersectionality, etc linktr.ee/andrewjdbell

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Andrew Bell @andrewjdbell.bsky.social · 21/09/2026
Want to work with me and others on a MAIHDA-related project? www.jobs.ac.uk/job/DSZ206/r... We are advertising for two 3-month RA secondment positions, to do something related to the MAIHDA method. That might be:
jobs.ac.uk
Research Associate at University of Sheffield
An academic position as a Research Associate is being advertised on jobs.ac.uk. Click now to find more details and explore additional academic job opportunities.
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Intersectionality Training Institute @intersectionalitytraining.com · 14/09/2026
Applications ARE OPEN for the #intersectionality Summer Intensive 2027: July 12 to 16, 2027, #Philadelphia. Keynote and special #MAIHDA session with @clarerevans.bsky.social! Apply early - registration prices are lower the earlier you apply! www.intersectionalitytraining.com/isi/
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Natalie Bennett @nataliecbennett.bsky.social · 01/07/2026
Looking forward to presenting our working paper: "Interpreting inequalities and causal considerations – reflections on the application of descriptive intersectional MAIHDA" at the upcoming MAIHDA conference in Sheffield next Friday. Preprint here: osf.io/preprints/so...
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Andrew Bell @andrewjdbell.bsky.social · 27/04/2026
Intersectionality and MAIHDA conference - BOOKING NOW OPEN! (and it's free) Friday 10th July, University of Sheffield With a pre-conference MAIHDA course on Thursday 9th July All details: intersectionalhealth.org/upcoming-eve... Please share widely in your networks!
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Natalie Bennett @nataliecbennett.bsky.social · 30/01/2026
📢 New paper! We examine intersectional inequalities in neighbourhood air pollution concentration by area deprivation, ethnicity, education, rurality and age. We find evidence of patterns of inequality which depart from an additive framework link.springer.com/article/10.1...
link.springer.com
Intersectional Inequalities in Neighbourhood Air Pollution Concentration in England: A Quantitative Analysis of Ecological Data Using Eco-Intersectional Multilevel (EIM) Modelling - Applied Spatial An...
Applied Spatial Analysis and Policy - Air pollution is detrimentally associated with many health outcomes, yet its impacts are not equally distributed. Research consistently finds inequalities by...
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Mark Taylor @markrt.co.uk · 23/01/2026
work with me and @drdaveobrien.bsky.social as part of @creativepec.bsky.social! we're recruiting a postdoc to work on the arts, culture and heritage sectors using quantitative methods. please share, please feel free to email me directly with any Qs! jobsite.sheffield.ac.uk/job/Sheffiel...
jobsite.sheffield.ac.uk
Research Associate in Creative Industries (Quantitative)
Research Associate in Creative Industries (Quantitative)
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Essex Summer School in Social Science Data Analysis @essexsummerschool.bsky.social · 21/01/2026
Want to strengthen your methods training this summer? Applications are now open for 50+ courses. • Small classes, personalised instruction • Speaker Series & social and networking events • Transferable ECTS credits Apply now: bit.ly/4qzg7Vr
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Ferhat Tura @ferhattura19.bsky.social · 29/12/2025
📢 New publication – and a great way to end the year In this study, we use MAIHDA (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy) to study who is most at risk of violence victimisation in England and Wales. Paper: doi.org/10.1177/1748... 1/n
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Andrew Bell @andrewjdbell.bsky.social · 14/01/2026
Come and learn multilevel modelling with me this summer! Or take one of the other excellent courses running as part of Essex Summer School
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Andrew Bell @andrewjdbell.bsky.social · 04/12/2025
New paper! doi.org/10.1136/jech... Using MAIHDA / NHS NDRS cancer data Among colorectal cancer diagnoses, young, black patients living in deprived areas are more likely to be diagnosed late 17%point gap in late diagnosis rate between the most and least advantaged intersectional strata
jech.bmj.com
Intersectional inequalities in advanced stage diagnosis of colorectal cancer in England: a cross-sectional study of National Cancer Registry data from 2013 to 2019
Background Inequalities in colorectal cancer (CRC) staging and outcomes exist across numerous sociodemographic axes. Early-stage CRC diagnosis is important for treatment success and survival. In this ...
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Andrew Bell @andrewjdbell.bsky.social · 22/10/2025
Pleased to see this out in print - detailing MAIHDA's desirable statistical properties. "MAIHDA is especially valuable when inequalities are subtle or data for marginalised intersections are sparse - conditions common in practice" journals.sagepub.com/doi/10.1177/... @clarerevans.bsky.social
journals.sagepub.com
The Statistical Advantages of Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy for Estimating Intersectional Inequalities - George Leckie, Andrew Bell, Juan Merlo, SV Subram...
Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) is a multilevel regression approach grounded in intersectionality theory. I...
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Andrew Bell @andrewjdbell.bsky.social · 16/10/2025
Want to know how to use MAIHDA to examine heterogeniety in policy outcomes? Here's a nice worked-through example! How does intersectional identity impact preference for in-person vs online GP appoinments? Has been great working with @healthfoundation.bsky.social colleagues on this :)
A caterpillar plot of slope variability in the effect of appointment type. Statistically significant differentials are coloured in blue, of which there are 4 positive and 8 negative. The figure is taken from the linked blog figure 5
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Julia M. Rohrer @dingdingpeng.the100.ci · 06/06/2025
Now officially out with nice formatting and all 🥳 "Thinking clearly about age, period, and cohort effects" -- a gentle introduction to the age-period-cohort problem and how to "solve" it through various types of assumptions. journals.sagepub.com/doi/10.1177/...
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National Centre for Research Methods @ncrm.ac.uk · 05/06/2025
NCRM has opened applications to participate in the Research Methods Rendezvous! This free event will explore the process of turning early-stage ideas into #research projects. #RMR2025 takes place online on 10 September and 29 October 2025. Apply: www.ncrm.ac.uk/training/RMR...
A promotional graphic for the Research Methods Rendezvous, which takes place online on 10 September and 29 October 2025.
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Julia M. Rohrer @dingdingpeng.the100.ci · 11/05/2025
Thanks to everybody who chimed in! I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist. So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>
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Health Equity North @healthequitynorth.bsky.social · 22/05/2025
Our research on the effects that PIP changes could have on local economies, written by authors @nataliecbennett.bsky.social @profbambra.bsky.social & @lukemunford.bsky.social, was featured on the @itvpeston.bsky.social programme last night - you can watch the episode on catch up
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Julia M. Rohrer @dingdingpeng.the100.ci · 29/04/2025
Another q for the stats people! People worry about collinearity (cf blog post below). Consider a scenario in which the collinear predictors are just controls to account for confounding. Including both of them doesn't impair the precision with which the effect of interest is estimated, does it?
janhove.github.io
Jan Vanhove :: Blog - Collinearity isn’t a disease that needs curing
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Essex Summer School in Social Science Data Analysis @essexsummerschool.bsky.social · 11/04/2025
Multilevel Models: Practical Applications Curious about multilevel modelling but not sure where to start? Learn to recognise, build & interpret multilevel models using MLwiN or R, through real-world examples & hands-on practice. Find out more: bit.ly/3Yj5I4f #ESS2025
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Andrew Bell @andrewjdbell.bsky.social · 29/04/2025
Still time to apply for this RA post- developing and applying the intersectional MAIHDA approach with @clarerevans.bsky.social and others. If you're a quantitative social scientist with an interest in quantitative methods and methods development, please apply! DMs open www.jobs.ac.uk/job/DMR190/r...
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Andrew Bell @andrewjdbell.bsky.social · 04/03/2025
Come join George and I in Bristol, to learn about intersectional MAIHDA! bristol.ac.uk/cmm/software... @ncrm.ac.uk
Text reads: "An introduction to multilevel modelling for intersectionality research: the MAIHDA Approach. 19th June 2025. Instructors: Prof George Leckie and Dr Andrew Bell.

There are logos for Centre for multilevel modelling, NCRM, University of Sheffield, and UKRI
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Marcos Fanton @tomecicuta.bsky.social · 22/11/2024
It’s my first project too! In fact, it’s also my first in epidemiology since I come from philosophy. :) I find stratified graphs based on social categories (like Hernández-Yumar, 2018) really interesting.
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Clare Evans @clarerevans.bsky.social · 14/02/2025
A little story about this article & how teachers make a difference: In 2013, I was a student in a social epidemiology class taught by the esteemed David Williams. He observed, with some frustration while we looked at a series of graphs, that we often lump people into the “Hispanic” category — 1/
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Andrew Bell @andrewjdbell.bsky.social · 30/01/2025
George Leckie and I have created a new short MAIHDA tutorial, with videos and practical exercises: www.ncrm.ac.uk/resources/on... It's based on our tutorial paper in SSM Pop Health, but shorter and more interactive. Hope it's helpful! @ncrm.ac.uk
ncrm.ac.uk
NCRM resource | Multilevel models to study intersectionality by Andrew Bell and George Leckie
Multilevel models allow researchers to analyse data that has a clustered structure such as pupils nested within schools, or individuals within neighbourhoods. Recently, a version of multilevel models
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Michelle Kelly-Irving @mkellyirving.bsky.social · 03/12/2024
Starting out using #intersectional MAIHDA analyses, so need to dig into this great tutorial paper by @clarerevans.bsky.social , Leckie, Subramanian, @andrewjdbell.bsky.social Juan Merlo 👏 www.sciencedirect.com/science/arti...
sciencedirect.com
A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA) is an innovative approach for investigating ineq…
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SARG - SCHARR @sarg-scharr.bsky.social · 19/11/2024
New paper published in Social Science and Medicine 'An analysis of intersectional disparities in alcohol consumption in the US'. Led by @sophiebright.bsky.social, this study identifies several understudied groups who may have higher alcohol consumption than traditional methods would suggest.
sciencedirect.com
An analysis of intersectional disparities in alcohol consumption in the US
Alcohol is one of the leading causes of preventable deaths in the United States (US). Prior research has demonstrated that alcohol consumption and rel…
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Julia M. Rohrer @dingdingpeng.the100.ci · 19/09/2024
New preprint! osf.io/preprints/ps... The age-period-cohort problem is something that many researchers are vaguely aware of. There have been very cool advances in how to reason about it which don't seem to be well-known in psych. So, I've written a primer!
Abstract
Psychological researchers are interested in how things change over time and routinely make claims about, for example, age effects (e.g., personality changes with age) or cohort effects (e.g., differences in intelligence between cohorts). The age-period-cohort identification problem means that these claims are not possible based on the data alone: Any possible temporal pattern can be explained by an infinite number of combinations of age, period, and cohort effects. This concern holds regardless of the study design—it also applies to longitudinal designs covering multiple cohorts—and regardless of the number of observations available—it also applies if we observe the whole population. Researchers rely on statistical models that impose assumptions to pick one specific combination of effects. But these assumptions are often opaque and researchers may be unaware of them, resulting in a lack of scrutiny. Here,...
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Julia M. Rohrer @dingdingpeng.the100.ci · 24/06/2024
Rereading @andrewjdbell.bsky.social's 2020 paper on APC analysis & this is such a great example of how plots imply certain interpretations of the data. Same underlying data but depending on how you connect the lines, the implied age effect looks completely different.
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